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Knowledge representation and reasoning technique

Subclass of:

706 - Data processing: artificial intelligence

706045000 - KNOWLEDGE PROCESSING SYSTEM

Patent class list (only not empty are listed)

Deeper subclasses:

Class / Patent application numberDescriptionNumber of patent applications / Date published
706047000 Ruled-based reasoning system 542
706052000 Reasoning under uncertainty (e.g., fuzzy logic) 416
706054000 Analogical reasoning system 159
706050000 Having specific management of a knowledge base 158
706055000 Semantic network (e.g., conceptual dependency, fact based structure) 46
706058000 Temporal logic 20
706053000 Frame-based reasoning system 15
706056000 Predicate logic or predicate calculus 8
706057000 Propositional logic 7
706051000 Non-monotonic reasoning system 2
20090271358Evidential Reasoning Network and Method - The present invention relates generally to expert systems that synthesize data from multiple disparate sources of evidential information. More specifically, the present invention relates to systems, methods, devices, and computer readable media for implementing evidential reasoning with multi-agent systems.10-29-2009
20130159240METHOD AND SYSTEM FOR ROOT CAUSE ANALYSIS AND QUALITY MONITORING OF SYSTEM-LEVEL FAULTS - System fault codes, component fault codes, and failure modes may be received at a system. A first level model comprising first level causal relationships and first level causal weights between the system fault codes and the component fault codes may be generated. A second level model comprising second level causal relationships and second level causal weights between the component fault codes and the failure modes may be generated. The first level model and the second level model may be combined to generate a model such as graphical model. One or more causal probabilities may be determined using the graphical model.06-20-2013
706049000 Blackboard system 2
20100070451METHOD OF AUTOMATIC DRIVING OF A TELECOMMUNICATIONS NETWORK WITH LOCAL MUTUALIZATION OF KNOWLEDGE - The invention relates according to a first aspect to a method of driving a telecommunications network comprising equipment responsible for carrying out network control tasks, each item of equipment comprising a knowledge base intended for storing, in the form of elements dubbed knowledge, contextual information required in order for the equipment to carry out the control tasks for which it is responsible, the method being characterized in that: a logical neighbourhood is defined, consisting of network equipment—intended to cooperate in order to carry out one and the same control task; the knowledge stored in the various knowledge bases is mutualized in the logical neighbourhood, by implementing for each item of equipment of the logical neighbourhood a cooperation of said item of equipment with the other items of equipment of the logical neighbourhood; in each item of equipment of the logical neighbourhood, the same control task is carried out by feeding it with the mutualized knowledge stored in the knowledge base of said item of equipment. The invention extends also to an item of equipment, and to a network comprising means for implementing the method according to the first aspect of the invention.03-18-2010
20090018986Systems and methods for integrating educational software systems - Systems and methods are provided for integrating educational software. In one implementation, a first server receives an identifier of a second server that provides at least one source educational course. A second server receives metadata for the at least one source educational course and stores the metadata.01-15-2009
Entries
DocumentTitleDate
20100088264SYSTEMS AND METHODS FOR TREATING DIAGNOSING AND PREDICTING THE OCCURRENCE OF A MEDICAL CONDITION - Methods and systems are provided that use clinical information, molecular information and computer-generated morphometric information in a predictive model for predicting the occurrence (e.g., recurrence) of a medical condition, for example, cancer. In an embodiment, a model that predicts prostate cancer recurrence is provided, where the model is based on features including one or more (e.g., all) of biopsy Gleason score, seminal vesicle invasion, extracapsular extension, preoperative PSA, dominant prostatectomy Gleason grade, the relative area of AR+ epithelial nuclei, a morphometric measurement of epithelial nuclei, and a morphometric measurement of epithelial cytoplasm. In another embodiment, a model that predicts clinical failure post-prostatectomy is provided, wherein the model is based on features including one or more (e.g., all) of dominant prostatectomy Gleason grade, lymph node invasion status, one or more morphometric measurements of lumen, a morphometric measurement of cytoplasm, and average intensity of AR in AR+/AMACR− epithelial nuclei.04-08-2010
20100057658REAL-TIME LIFESTYLE RECOMMENDATION SYSTEM - A method of providing a recommendation is provided. The method includes receiving user provided information at a first device from a second device. The user provided information includes user preference information and a user account authorization. User account information is requested from the first device based on the user account authorization. The requested user account information is received from a third device at the first device. The received user provided information and the received user account information is stored at a device accessible by the first device. A request for a recommendation is received from the second device. The recommendation is determined based on the stored user provided information and the stored user account information. The determined recommendation is sent from the first device to the second device.03-04-2010
20090192965MODEL-DRIVEN EVENT DETECTION, IMPLICATION, AND REPORTING SYSTEM - An event analysis system monitors information available from both publicly and privately distributed networks of information for events that are relevant to the user's particular business concerns. Those concerns are defined in a customized model of the user's organization and external business environment. The system receives the information, detects events in the information, interprets the events, and determines implications of these events. The detection and implication proceeds with regard to specific entities, relationships between entities, and definitions of the types of events which may occur in the environment in which the entities exist. Accordingly, the analysis system intelligently adapts its processing to recognize and report events which may be of interest for any particular entity.07-30-2009
20090192963SYSTEM AND METHOD FOR DYNAMICALLY INFERRING DATA PRECONDITIONS OVER PREDICATES BY TREE LEARNING - A system and method for inferring preconditions for procedures in a program includes formulating predicates based on inputs to a procedure, including formal arguments, global variables and external environment. Truth assignments are sampled to the predicates to provide truth assignments that lead to a feasible set of input values. Test cases are generated for testing the program in accordance with the truth assignments having feasible sets of input values. The truth assignments are classified to the predicates as providing an error or not providing an error.07-30-2009
20090192961ADAPTING MEDIA STORAGE BASED ON USER INTEREST AS DETERMINED BY BIOMETRIC FEEDBACK - The present invention discloses a system, method, apparatus, and computer usable product code adapting a media stream based upon biometric feedback. The system can include one or more biometric sensor, a media handling component, an importance inference engine, and a media processing component. The biometric sensor can be able to receive biometric feedback from at least one user. The media handling component can be a media creation component (e.g., video recorder, camera, etc.) and/or a media playback component (e.g., video player, music player, etc.). The importance inference engine can be configured to analyze biometric feedback received from the biometric sensor to determine an emotional interest level that a provider of the biometric feedback has in the media of the media handling component. The media processing component can modify the media of the media handling component based upon the emotion interest level determined by the importance inference engine.07-30-2009
20090192960EFFICIENT WEIGHTED CONSISTENT SAMPLING - A method and a processing device may be provided for performing efficient weighted consistent sampling. A group of sets having multiple elements with associated weights may be provided. A single hash function may be applied to each of the elements of the group of sets to produce consistent uniformly distributed non-negative random numbers. Transformed values corresponding to each of the elements may be produced by determining a w07-30-2009
20090192966COST-BENEFIT APPROACH TO AUTOMATICALLY COMPOSING ANSWERS TO QUESTIONS BY EXTRACTING INFORMATION FROM LARGE UNSTRUCTURED CORPORA - The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and/or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility. In this manner, the accuracy of answers to questions can be balanced with the cost of information extraction and analysis to compose the answers.07-30-2009
20090048995EMBEDDED REACTIVE AND PROACTIVE INTELLIGENCE - A network device may include logic configured to invoke proactive programs based on the expiration of a long time period within the network device, wherein the proactive programs collect data relating to operations of the network device, invoke reactive programs based on the detection of at least one of an event or expiration of a short time period, wherein the reactive programs collect, correlate and analyze data relating to the detected event or expiration of a short time period, determine a corrective action based on collected and analyzed data, and perform the determined corrective action within the network device.02-19-2009
20130031041Forecasting Hotspots using Predictive Visual Analytics Approach - A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.01-31-2013
20100049682INFERENCE DETECTION ENABLED BY INTERNET ADVERTISING - One embodiment of the present invention provides a system that performs inference detection based on Internet advertisements. In doing so, this system first receives a set of topic words, performs a search query on each topic word using a search engine, and gathers a set of Uniform Resource Locators (URLs) associated with sponsored advertisement from the search results corresponding to each search query. Then, the system determines a correlation between two topic words based on their corresponding URLs associated with sponsored advertisement, and produces a result which indicates groups of correlated topic words.02-25-2010
20100076917System and method for predicting rare events - Systems and methods are provided for predicting rare events, such as hospitalization events. Predictor sequences may be generated by example systems and methods. Further, the fitness of those sequences may be measured. Sequences may be refined and/or combined with other sequences to produce better sequences. Related sequences may have their relationship identified and associated with the respective sequences. Finally, the sequences may be used to create a predictive model designed to determine, based on a sequence of events related to a person, if a hospitalization event is likely to occur in a given timeframe. Other models may be constructed and used to predict other rare events, based on related event sequences.03-25-2010
20130085976SYSTEM FOR PREDICTING A DRIVER'S INTENTION TO CHANGE LANES - Provided is a system for predicting a driver's intention to change lanes at a high accuracy involving a minimum amount of time delay. A driver's intention to change lanes is predicted by a prediction unit (04-04-2013
20130085975Device for Monitoring the Lateral Environment of a Vehicle - A device for monitoring the lateral environment of a vehicle. The device includes an evaluation and control unit and at least one predictive sensor unit. The evaluation and control unit have at least one interface, which receives signals from the at least one predictive sensor unit, and an arithmetic unit which is coupled to the at least one interface and analyses signals from the at least one predictive sensor unit for detecting an object in a lateral monitoring region and for determining information about the detected object. The at least one predictive sensor unit is a low-cost sensor unit, and at least two predictive sensor units, which have overlapping monitoring regions, are disposed at a distance from each other on each vehicle side.04-04-2013
20130085974USING CYCLIC MARKOV DECISION PROCESS TO DETERMINE OPTIMUM POLICY - A method for determining an optimum policy by using a Markov decision process in which T subspaces each have at least one state having a cyclic structure includes identifying, with a processor, subspaces that are part of a state space; selecting a t-th (t is a natural number, t≦T) subspace among the identified subspaces; computing a probability of, and an expected value of a cost of, reaching from one or more states in the selected t-th subspace to one or more states in the t-th subspace in a following cycle; and recursively computing a value and an expected value of a cost based on the computed probability and expected value of the cost, in a sequential manner starting from a (t −1)-th subspace.04-04-2013
20130080367AGREEMENT BREACH PREDICTION SYSTEM, AGREEMENT BREACH PREDICTION METHOD AND AGREEMENT BREACH PREDICTION PROGRAM - In order to improve the prediction accuracy of a service level agreement breach, an agreement breach prediction system includes: a probability distribution calculation unit that calculates a probability distribution of a measured value for each event; a probability calculation unit that calculates, for each event, a probability that applies to an SLA breach and a probability that does not applies to an SLA breach; an SLA distribution calculation unit that calculates a probability density of a measured value corresponding to the SLA breach; and a breach occurrence probability calculation unit that, when the event occurs, calculates a probability that the SLA breach occurs within the predefined time after the occurrence of the event, by using the respective probabilities corresponding to the event, and the respective probability densities corresponding to the measured values at the time of event occurrence.03-28-2013
20130080363CONTEXT-BASED FAILURE REPORTING FOR A CONSTRAINT SATISFACTION PROBLEM - A method for solving a constraint satisfaction problem (CSP) comprises identifying a first illegal combination associated with at least one variable, wherein the first illegal combination contradicts at least one constraint; grouping the first illegal combination with a second illegal combination, in response to determining that the first and second illegal combinations contradict the same constraint; identifying at least one failure explanation for each group of illegal combinations, wherein the failure explanation is associated with at least one illegal combination in said group to provide a reason for a contradicted constraint associated with the illegal combination; assigning a value to each variable in the given domain to solve the CSP within the limitations defined by the constraints in a solution path; and generating a result, in response to determining that at least one assigned value to a variable contradicts a constraint.03-28-2013
20130080366Enhanced Artificial Intelligence Language - A method of determining an appropriate response to an input includes linking a plurality of attributes to a plurality of response templates using a plurality of Boolean expressions. Each attribute is associated with a set of patterns. Each pattern within the set of patterns is equivalent. The method also includes determining an appropriate response template from the plurality of response templates based on the input.03-28-2013
20130080365Phased Whole Genome Genetic Risk In A Family Quartet - An embodiment of the present invention is a method for resolving long-range haplotype phase based on family pedigree data, inheritance state determination, and population linkage disequilibrium data. A method according to an embodiment of the present invention provides for the evaluation of genome wide risk using phased haplotype data.03-28-2013
20130080364SYSTEMS AND METHODS FOR PROVIDING RECOMMENDATIONS BASED ON COLLABORATIVE AND/OR CONTENT-BASED NODAL INTERRELATIONSHIPS - In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.03-28-2013
20130036081INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - Provided is a n information processing device including a collection unit configured to collect meta feedback that is feedback on a combination including a content, a user, and feedback on the content of the user, and a prediction unit configured to obtain a predicted acceptance degree that is a prediction value of a degree to which an active user that is a target user accepts a combination including at least one of the content, the user, and the feedback, based on the collected meta feedback.02-07-2013
20130036080Method And Apparatus For A Predictive Tracking Device - A predictive tracking method and apparatus utilizing objective and subjective data in order to predict user states is provided herein. For example, some such embodiments may allow a user to track their mood or health symptoms in relation to retrieved data regarding their environmental in order to reveal patterns that can help forecast and proactively manage mood or health symptoms.02-07-2013
20130036079DETERMINING INVARIANTS IN A MODEL - A method, apparatus and product for determining invariants in a model. One exemplary embodiments is a computer-implemented method performed by a computerized device, comprising: obtaining a set of candidates of invariants with respect to a model, the model comprising a transition relation axiom and an initial axiom; for substantially each candidate, adding to the model a first auxiliary variable, the first auxiliary variable is defined to be implied from the candidate being held in a predetermined cycle; iteratively trying to prove an inductive step with respect to a subset of the candidates, wherein in response to determining that a candidate is not held inductively removing the candidate from the subset of the candidates, wherein determining which candidate is not held inductively is performed based on values of the first auxiliary variables.02-07-2013
20090037356SYSTEMS AND METHODS FOR GENERATING SALES LEADS DATA - A method and system for generating sales leads information from a plurality of online sources is disclosed. The method includes the following steps:02-05-2009
20090319459Physically-animated Visual Display - A physically animated visual display is a robotic device, capable of multiple degree-of-freedom motion, that is adapted to improve a user's emotional state, cognitive performance, and comfort level through reactive and goal-directed manipulation of the position of the display. The affective-cognitive system comprises a feature extraction subsystem for deriving physical information about a user from data obtained from sensors, a perception subsystem for processing the data in order to determine the user's current emotional state, affective-cognitive state, or posture, an action selection subsystem for determining an action to be taken in response, and a motor system for physically animating the robotic device in accordance with the determined action. The system may include feedback modeling based on a reaction of the user to the movement of the apparatus increasing or decreasing the probability of choosing the current behavior based on the user's reaction.12-24-2009
20130041860PREDICTING INFLUENCE IN SOCIAL NETWORKS - A method, system and computer program product are disclosed for predicting influence in a social network. In one embodiment, the method comprises identifying a set of users of the social network, and identifying a subset of the users as influential users based on defined criteria. A multitude of measures are identified as predictors of which ones of the set of users are the influential users. These measures are aggregated, and a composite predictor model is formed based on this aggregation. This composite predictor model is used to predict which ones of the set of users will have a specified influence in the social network in the future. In one embodiment, the specified influence is based on messages sent from the users, and for example, may be based on the number of the messages sent from each user that are re-sent by other users.02-14-2013
20130041861SEMANTIC MEDICAL DEVICES - A semantic medical technology is disclosed. In various embodiments, the technology organizes an initial data collection to collect data from the one or more sensors; processes the data to obtain an initial diagnosis wherein the initial diagnosis can be a syntax diagnosis or a semantic diagnosis; identifies an organization for an additional data collection to collect additional data; analyzes the additional data to obtain a refined diagnosis; and repeats the identifying and analyzing until a stopping criterion is satisfied.02-14-2013
20130041863SYSTEMS AND METHODS FOR ORGANIZING DATA SETS - A method is provided for organizing data sets. In use, an automatic decision system is created or updated for determining whether data elements fit a predefined organization or not, where the decision system is based on a set of preorganized data elements. A plurality of data elements is organized using the decision system. At least one organized data element is selected for output to a user based on a score or confidence from the decision system for the at least one organized data element. Additionally, at least a portion of the at least one organized data element is output to the user. A response is received from the user comprising at least one of a confirmation, modification, and a negation of the organization of the at least: one organized data element. The automatic decision system is recreated or updated based on the user response. Other embodiments are also presented.02-14-2013
20130041862METHOD AND SYSTEM FOR PROVIDING RECOMMENDATIONS IN A SOCIAL NETWORK - A Bayesian Inference based recommendation system in a social network is provided. The method and system utilizes content ratings from a querying initiator's friends and their friends depending on the time to live (TTL) and other factors. Receiving users send to the querying initiator recommendation ratings from their friends and a conditional probability of distribution of the recommendation ratings given by the recommender's rooted at the friend. Once this information has been obtained from the friend/hopped friend network, the querying initiator's recommendation query engine constructs the QI's own rating response using the Bayesian Inference Network.02-14-2013
20100042571Methods, Systems, and Computer-Readable Media for Facility Integrity Testing - Methods, systems, and computer-readable media provide for facility integrity testing. According to embodiments, a method for populating a watch list with circuits of a communications network to be monitored for repeat failures is provided. According to the method, a trouble ticket associated with one of the circuits and a trouble code and analysis code (TC/AC) combination associated with the trouble ticket is retrieved. Whether the trouble ticket meets a watch list criterion is determined. In response to determining that the trouble ticket meets the watch list criterion, the trouble ticket and the TC/AC combination are added to the watch list.02-18-2010
20100042570Messaging Application with Multiple Viewports for Presenting Messages in Different Orders - In a method for displaying messages, a system displays messages from a single user account in multiple viewports. Each viewport orders messages based on an importance score that is calculated based on the user's prior interactions with messages in his user account through that viewport. Each viewport associated with the user account orders messages using a distinct message importance model.02-18-2010
20100161537System and Method for Detecting Email Spammers - A system and method for detecting Email spammers from unknown SMTP Clients using the unknown SMTP Client's SMTP traffic information e.g. byte size and variability data. The system and method includes a byte size and variability traffic flow model and a classification system. The traffic flow model may be based upon a standard deviation of byte size and variability of traffic flows for a plurality of legitimate SMTP Clients and for a plurality of Spammer SMTP Clients. The classification system then classifies an Unknown SMTP Client as an Email Spammer based on a comparison between the byte size and the variability of the Unknown SMTP Client's traffic flows with the byte size and variability traffic flow model.06-24-2010
20100161536PATTERN MATCHING - A method and apparatus to perform pattern matching is provided. The apparatus includes a first storage to store data representing a first set of pattern components, and a second storage to store data representing a second set of pattern components each corresponding to one or more components of the first set of pattern components. A first pattern matcher is configured to detect in an input stream a first component of one or more patterns and to generate a signal indicative of the detection of the first component. A second pattern matcher is configured to receive the signal from the first pattern matcher and to detect if a second component of the one or more patterns of the set of patterns immediately follows the first component in the input stream.06-24-2010
20100161535METHOD AND APPARATUS FOR INFERRING THE PRESENCE OF STATIC INTERNET PROTOCOL ADDRESS ALLOCATIONS - A method and apparatus for inferring if an IP address allocation in a remote network is static or dynamic are disclosed. For example, the method contacts at least one remote peer to peer endpoint using a peer to peer application to obtain an IP address of the at least one remote peer to peer endpoint. The method then analyzes characteristics of the at least one remote peer to peer endpoint over a predefined period of time to infer whether the presence of static IP address allocation exists for the at least one remote peer to peer endpoint.06-24-2010
20090157585Method for predicting citation counts - A computerized process to predict citation counts of articles comprising the steps of receiving an article through an input, obtaining, through the input, a selected set of articles exclusive of the article, storing in a memory the set of articles and the article, extracting through a computer processor an article feature from each article in the stored set of articles, constructing models through the computer processor using a pattern recognition process and the article feature, selecting, through the processor, a best model, predicting by application of the best model to the article by the processor a future citation count of the article, outputting, the article comprising the future citation count and controlling through a publication controller unit, distribution of the article.06-18-2009
20090157584FEATURE SELECTION - A method of feature selection applicable to both forward selection and backward elimination of features is provided. The method selects features to be used as an input for a classifier based on an estimate of the area under the ROC curve of each of the classifiers. Exemplary applications are in homecare or patient monitoring, body sensor networks, environmental monitoring, image processing and questionnaire design.06-18-2009
20090157583ROUTE TRANSFER BETWEEN DEVICES - A user can intend to travel between different locations and employ different traveling manners to reach an intended travel destination. At different points, different devices can be employed for disclosing a route. For instance, as a user walks, a route can be integrated into a personal electronic device, such as a cellular telephone. An evaluation can take place that due to specific route details, for example detailed text, a particular device would be superior for presentment over another.06-18-2009
20100106671Comprehensive Human Computation Framework - Technologies for a human computation framework suitable for answering common sense questions that are difficult for computers to answer but easy for humans to answer. The technologies support solving general common sense problems without a priori knowledge of the problems; support for determining whether an answer is from a bot or human so as to screen out spurious answers from bots; support for distilling answers collected from human users to ensure high quality solutions to the questions asked; and support for preventing malicious elements in or out of the system from attacking other system elements or contaminating the solutions produced by the system, and preventing users from being compensated without contributing answers.04-29-2010
20100106670CONSTRAINT BASED SYSTEM WITH DYNAMIC CONSISTENCY CHECKING - A constraint based system solves a network that includes a first variable node having a first integer domain, a second variable node having a second integer domain, and a constraint for the first variable node and the second variable node. The system retrieves a first integer domain representation of the first integer domain and a second integer domain representation of the second integer domain and determines from the first and second integer domain representations if the first integer domain or second integer domain has at least one excluded value. The system then determines a type of constraint consistency checking based on whether the integer domains have at least one excluded value.04-29-2010
20090327191Magnetic screening system network - A magnetic screening system uses directional gradiometers with high resolution and accuracy to measure magnetic field signatures of target objects (e.g., gun, knife, cell phone, keys) in a volume of interest. The measured signatures can be compared to signatures of known objects stored in a local database. Various mathematical processes may be used to identify or classify target object signatures. In a network of magnetic screening systems, the magnetic screening systems can transmit signatures to a central signature database, and a management computer can share the central signature database with all of the magnetic screening systems on the network. The magnetic screening system can operate in multiple modes, such as a tracking mode, measurement mode, calibration mode, and self-test mode. Calibration may be performed in a substantially continuous manner to allow calibration parameters to be adjusted during system operation (e.g., tracking mode) to compensate for changes in conditions that may impact calibration parameters. Through use of unique processes and designs, the magnetic screening system can achieve a high rate of processing persons for target objects.12-31-2009
20130046719INFORMATION PROCESSING DEVICE, TERMINAL, SERVER, AND METHOD FOR DATA TRANSFER - An information processing device includes a first unit which predicts use data used in the future on the basis of action plan information resulting from prediction of an action of a user, and outputs use data identification information; a second unit which predicts a communication state in a situation indicated by the action plan information on the basis of the action plan information and communication environment information regarding a communication environment of the terminal, and outputs information regarding the predicted communication state; and a third unit which calculates a prefetch necessary degree regarding each of the use data on the basis of the use data identification information and the information regarding the predicted communication state.02-21-2013
20130046718METHOD AND SYSTEM FOR CONNECTING ANALYTIC NETWORK PROCESS MODEL (ANP) WITH FEEDBACK THROUGHOUT THE ANP MODEL BETWEEN SUB-NETWORKS - A computer-implemented system is provided for an analytic network process (ANP) control structure with feedback throughout the ANP control structure. The computer-implemented system includes an ANP control structure storage unit that stores an ANP control structure with feedback throughout the ANP control structure. Also included is a synthesizer that performs a BOCR calculation on the ANP control structure with feedback throughout the ANP control structure, to yield a result which is proper according to ANP theory when values are non-trivial. Also disclosed is a computer-implemented method for an analytic network process (ANP) control structure with feedback through the ANP control structure, and a related computer-readable storage medium encoded with a computer program.02-21-2013
20130046717PREDICTING FUTURE TRAVEL BASED ON A USER'S HISTORICAL FINANCIAL INSTITUTION TRANSACTION DATA AND PROVIDING OFFERS BASED ON THE PREDICTED FUTURE TRAVEL - Methods, apparatus and computer-program products are described for providing travel-location merchant offers to users who are determined to be travelling based on Point-Of-Sale (POS) transaction data. Embodiments of the invention compare the location of the POS transaction to the user's domicile location and if the transaction occurs a predetermined distance or greater from the domicile location, the user is determined to be travelling. Once the travelling determination is made, travel-location merchant offers are identified and communicated to the user.02-21-2013
20130138590SYSTEM FOR PLANNING, MANAGING, AND ANALYZING SPORTS TEAMS AND EVENTS - A system for planning, managing, and analyzing sports teams and events. The system may include a content management function for storing data. The data can pertain to a plurality of sports-related statistics and a variety of identifying data. The system and method can also include an event management function for planning and evaluating sports-related events such as practices and games. The system and method can also include a report function which can provide a variety of statistical analyses.05-30-2013
20090043723WEB SERVER SYSTEM - When a mobile telephone requests a web server for HTML page data containing a link, the server generates an identifier and appends the identifier to the link. An HTML page containing the link with the appended identifier is generated by the web server and is transmitted from the web server to the mobile telephone. If content at the link destination of the link is requested by the mobile telephone, then the content is transmitted to the mobile telephone and an access log entry is recorded at the web server. The access log entry includes the identifier and the content request. In a case where identifiers are found to be in common, the number of times this content was accessed (requested) is construed to be a single time. Even if a single item of content is divided into multiple portions and requested multiple times, the number of times this content was accessed is treated as being a single time. The number of times access was performed can be calculated comparatively accurately.02-12-2009
20130091084DATA QUALITY ISSUE DETECTION THROUGH ONTOLOGICAL INFERENCING - Systems and methods (e.g., utilities) for use in providing automated data quality detection that can be used multiple times across various domains and across multiple data quality spheres. A data structure or schema of an incoming data set is initially mapped to a desired data or knowledge state in a domain ontology made up of a number of TBox statements. Data quality issues in the incoming data set can then be detected as instances of the incoming data set are attempted to be inferenced against or otherwise matched to anticipated TBox statements of the domain ontology.04-11-2013
20090327188Resonator - At least one resonator is disclosed having a plurality of nanoscale resonator elements, the at least one resonator having at least two, different resonant frequencies and configured to provide at least two signals in response to an input signal and at least two adders configured to weight the signals with respective weights and to add weighted signals so as to produce an output signal.12-31-2009
20090307169Distributable Serializable Finite State Machine - A distributable and serializable finite state machine and methods for using the distributable and serializable finite state machine are provided wherein finite state machine instance can be location-shifted, time-shifted or location-shift and time-shifted, for example by serializing and deserializing each instance. Each instance can be located-shifted between agents, and a persistent memory storage location is provided to facilitate both location-shifting and time-shifting. Finite state machine instances and the actions that make up each instance can be run in a distributed fashion among a plurality of agents.12-10-2009
20090307168Systems and methods for photo-based content discovery and recommendation - Described are systems and methods for photo-based content discovery and recommendation. The methods and systems disclosed provide a photo-based website for allowing users to discover places, people and activity of similar likes and preferences.12-10-2009
20090307167CLASSIFICATION USING SUPPORT VECTOR MACHINES AND VARIABLES SELECTION - A method of deriving a classifier for classifying items using a plurality of variables for characteristics of the items, the method comprising determining a representative subset of the variables for use in said classifier.12-10-2009
20090307166METHOD AND SYSTEM FOR AUTOMATED INTEGRATED SERVER-NETWORK-STORAGE DISASTER RECOVERY PLANNING - An automated disaster recovery (DR) planning system for a computing environment is provided. A discovery module discovers servers, networks, and storage devices in a computing environment. An expert knowledge base module captures best practices in planning, and capabilities, interoperability, limitation and boundary values for different DR technologies. A match-making module determines multiple DR plans as combinations of one or more replication technologies that can be used to satisfy DR requirements. And, an optimizer configured for assessing a feasible DR plan from said multiple DR plans, to deploy for DR planning of a primary computing environment.12-10-2009
20120191636Smarter Business Intelligence Systems - An embodiment of the invention provides a method and system for analyzing a plurality of reports. More specifically, a change detection module predicts results of future reports based on past reports and identifies a first report that deviates from its predicted results. A dependency analysis module connected to the change detection module at least one report sharing a dependency with the first report by performing a dependency analysis and/or a usage analysis. The dependency analysis labels the first report and at least one second report as sharing a dependency if the second report deviates from its predicted results. The usage analysis labeling the first report and at least one report analyzed by an analyst as sharing a dependency if the report analyzed by the analyst is analyzed in response to the identification of the first report.07-26-2012
20130073507INFORMATION PROVIDING APPARATUS FOR VEHICLE, AND METHOD THEREFOR - An information providing apparatus for vehicle has a remaining capacity detecting section 03-21-2013
20130073506Context-Aware Analysis and Adaptation - A system and method for providing multi-dimensional context-aware adaptation in vehicular networks is disclosed. The system comprises a collection module, a context resolving module, a parameter determination module and a distribution module. The collection module collects context data describing a context in a communication environment. The context resolving module resolves the context data to a matching historical context and determines one or more historical context groups associated with the matching historical context. The parameter determination module determines a subset of operating parameters from the one or more historical context groups. The distribution module distributes the subset of operating parameters to a network stack communication module.03-21-2013
20130073505Methods and Framework for evaluating and modeling of contextual exchange, contextual collaboration and sensational awareness - Methods and framework for modeling of an intelligent, contextual and sensationally aware cognition and sensory system, operating based on the principle of the harmonic theory, which herein after will be referred to as the “Harmonic System”03-21-2013
20130073504SYSTEM AND METHOD FOR DECISION SUPPORT SERVICES BASED ON KNOWLEDGE REPRESENTATION AS QUERIES - In a method for decision support, a request for information that is part of a context is received, data is generated in response the request, a knowledge model associated with the context is populated with the data, the knowledge model is populated with real-time data associated with the request, the knowledge model is executed, and a result of the executed knowledge model is output.03-21-2013
20130166488PERSONALIZED INFORMATION PUSHING METHOD AND DEVICE - Embodiments of the present application relate to a personalized information pushing method, a personalized information pushing device, and a computer program product for pushing personalized information. A personalized information pushing method is provided. The method includes retrieving network behavior data related to access operations performed by user terminals, determining a numerical value of a degree of correlation between a user terminal and a plurality of information providing terminals having a correlation within a set time window based on the network behavior data, retrieving information providing terminals corresponding to a first user terminal to form a first data set based on the numerical values, retrieving information of the information providing terminals from the first data set to generate a first information, and pushing the first information to the first user terminal.06-27-2013
20130166489SYSTEM AND METHOD FOR USING A STATISTICAL CLASSIFIER TO SCORE CONTACT ENTITIES - A system and method for associating a character string with one or more defined entities of a contact record. An input character string is received. The string is first evaluated to see if the structure of the string is recognized. If not, then the string is compared to entries in a look up table. If the string format is not recognized, and the string is not found in the look up table, then a posterior probability is calculated for a set of defined entities over a limited set of string processing features. The result of probabilistic scoring determines which of the defined entities to associate with the character string.06-27-2013
20130060726COMPREHENSIVE HUMAN COMPUTATION FRAMEWORK - Technologies for a human computation framework suitable for answering common sense questions that are difficult for computers to answer but easy for humans to answer. The technologies support solving general common sense problems without a priori knowledge of the problems; support for determining whether an answer is from a bot or human so as to screen out spurious answers from bots; support for distilling answers collected from human users to ensure high quality solutions to the questions asked; and support for preventing malicious elements in or out of the system from attacking other system elements or contaminating the solutions produced by the system, and preventing users from being compensated without contributing answers.03-07-2013
20130060725JUDGMENT APPARATUS, JUDGMENT SYSTEM, AND JUDGMENT METHOD - A judgment apparatus includes a storage configured to store first reference data representing data that a detector should output in a first area when a detection target passed the first area, and second reference data representing data that the detector should output in the first area when the detection target passed a second area being different from the first area; and a processor to perform processes of: obtaining data from the detector outputting, in a time-series manner, data according to a detection condition of the detection target passing the first area or the second area; judging a degree of similarity between data obtained by the obtaining and the first and second reference data stored in the storage; and judging whether or not the detection target passed the first area, based on the judgment result by the judging the degree of similarity.03-07-2013
20090271346LIBRARY SYNCHRONIZATION BETWEEN DEFINITIONS AND INSTANCES - In an industrial control configuration, various instances can exist that are based upon a definition. A definition can be changed and thus it can be appropriate to alter related instances in accordance with the change. However, changing an instance can cause disruption in other actions even when the change is minor. Therefore, various standards can be used to determine if a change to an instance should be propagated automatically or at another time, such as after an operation. The determination can be based on artificial intelligence techniques, user preference, a defined rule set, user instruction, as well as other standards.10-29-2009
20090271345Method and Apparatus for Declarative Data Warehouse Definition for Object-Relational Mapped Objects - A data warehouse is constructed using the relational mapping of a transactional database without reconstructing the data relationships of the transactional database. First, an application programmer analyzes an object model in order to describe facts and dimensions using the objects, attributes, and paths of the object model. Each of the dimensions has an identifier that correlates an item in the transactional database to a dimension record in the data warehouse. The fact and dimension descriptions are saved to a description file. Second, a Data Warehouse Engine (DWE) then access the description file and uses the object model, fact and dimension descriptions, and object-relational mapping to map transactional data to the data warehouse.10-29-2009
20090076995USER STATE PRESUMPTION SYSTEM, USER STATE PRESUMPTION METHOD, AND RECORDING MEDIA STORING USER STATE PRESUMPTION PROGRAM - A user state presumption system includes a category storage, a transition model recorder, a log receiver, a log abstracting par, a behavior categorizing part, a category presuming part, a transition probability storage, a transition probability calculator, an intended behavior judging part; an intended behavior probability recorder; and an intended behavior probability calculator.03-19-2009
20080294583SIMILARITY MATCHING OF A COMPETITOR'S PRODUCTS - In embodiments of the present invention improved capabilities are described for identifying a classification scheme associated with product attributes of a grouping of products of an entity, receiving a record of data relating to an item of a competitor to the entity, the classification of which is uncertain, receiving a dictionary of attributes associated with products, and assigning a product code to the item, based on probabilistic matching among the attributes in the classification scheme, the attributes in the dictionary of attributes and at least one known attribute of the item.11-27-2008
20090030865INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM - An information processing apparatus includes plural information input units that input information including image information or sound information in an actual space, an event detecting unit that generates event information including estimated position information and estimated identification information of users present in the actual space by analyzing the information inputted from the information input unit, and an information-integration processing unit that sets probability distribution data of hypotheses concerning position and identification information of the users and executes generation of analysis information including user position information and user identification information of the users present in the actual space by updating and selecting the hypotheses on the basis of the event information.01-29-2009
20130066821SYSTEM AND METHOD FOR PROVIDING RECOMMENDATIONS WITH A LOCATION-BASED SERVICE - A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar tastes have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order or rank recommendations within the interface.03-14-2013
20130066820SYSTEM AND METHOD FOR EVIDENCE-BASED DECISION BOOTSTRAPPING - The systems and methods relate to decision making processes. Data associated with a request for a decision is received. Risks associated with the request are identified. Decision queries associated with each of the identified risks are determined. Any non-standard attributes associated with each of the identified risks are identified. A confidence level threshold for each of the identified risks is determined. A decision recommendation, generated by a machine learning component, is received. The decision recommendation includes a response to each of the one or more decision queries, determined based on the exceptional attributes, if any, and a confidence level associated with the response. The confidence level is compared to the confidence level threshold. Based on the comparison, a decision path for responding to the request is determined. Decision path actions are determined based on the decision path.03-14-2013
20110022558Recursive Cause-and-Effect Processing Engine - This unique smart grid invention is a configurable and flexible event-driven cause and effect inter-process information processing engine, providing continuous processing beyond any single existing smart grid event.01-27-2011
20110022557DYNAMIC CONSTRAINT SATISFACTION PROBLEM SOLVER WITH INFERRED PROBLEM ASSOCIATION REMOVAL - A constraint solver for solving a constraint satisfaction problem network that comprises a plurality of nodes and a plurality of constraints. The solver receives a request to remove an inferred problem association and determines one or more user decisions that triggered the inferred problem association.01-27-2011
20090265295 APPARATUS AND METHOD FOR THE ANALYSIS OF A PROCESS HAVING PARAMETER-BASED FAULTS - An apparatus for the analysis of a process having parameter-based faults includes: a parameter value inputter configured for inputting values of at least one process parameter, a fault detector, configured for detecting the occurrence of a fault, a learning file creator associated with the parameter value inputter and the fault detector, configured for separating the input values into a first learning file and a second learning file, the first learning file comprising input values from a collection period preceding each of the detected faults, and the second learning file comprising input values input outside the collection periods, and a learning file analyzer associated with the learning file creator, configured for performing a separate statistical analysis of the first and second learning files, thereby to assess a process status.10-22-2009
20120197832COLLABORATIVE SYSTEM FOR CAPTURE AND REUSE OF SOFTWARE APPLICATION KNOWLEDGE AND A METHOD OF REALIZING SAME - A method and system for generating an information template from a domain ontology, where the information template is specific to a content management system (CMS). After a domain ontology specification is received, a platform independent model (PIM) is generated that includes elements that represent knowledge in the CMS. The PIM is converted to a platform specific model (PSM) that is based on the CMS. The information template specific to the CMS is generated based on the PSM. A result of generating the information template is a documentation of content for the CMS in a format specified by the information template. An existing CMS is reverse engineered to interoperable forms by retrieving content of the information template in the existing CMS, transforming the content to the PIM, and transforming the PIM to a domain ontology model.08-02-2012
20090234787Integrated problem solving system - A method for solving a problem is disclosed. The method may include receiving a problem description. The description of the problem may include a description of a host application module to be used for solving the problem. The method may further include training an embeddable logic library with baseline data and a known solution of the problem. The embeddable logic library may include a plurality of object components describing rules and procedures for processing data. The method may further include receiving input data associated with the problem, and processing the input data according to the problem description, using rules and procedures described by the object components in the embeddable logic library. The method may also include converting the processed data into a format required by the host application module, and providing the converted data to the host application module.09-17-2009
20090327190Agent, method and computer system for negotiating in a virtual environment - A multi-agent system is described that uses software agents to represent objects in a chosen real world environment. Each agent has structure having certain characteristics where a relation with other agents can be established if the other agents have characteristics that are suitable to the requesting agent. The multi-agent system is able to perform dynamic negotiations autonomously between agents so as to establish relations when a new event enters the system or to offer compensation to modify existing relations and to self-organise to optimise the overall value of the system.12-31-2009
20120239604COLLABORATIVE FILTERING SYSTEM AND COLLABORATIVE FILTERING METHOD - When there are no evaluation values from a user who has evaluated both contents X and Z, an indirect similarity calculation unit 09-20-2012
20080294582DYNAMIC DOMAIN ABSTRACTION THROUGH META-ANALYSIS - A modeled-based reasoning system and method including dynamic domain abstraction, includes the use of an abstraction determining module configured to identify an appropriate abstraction level for a system model of a real-world system to be analyzed, from a plurality of potential abstraction levels. A system reasoning module is configured to perform analysis on the system model of the real-world system at the abstraction level determined to be appropriate by the abstraction determining module.11-27-2008
20080294581Device Comprising a Sensor Arrangement and an Estimator11-27-2008
20130166486MAKING ESTIMATIONS OR PREDICTIONS ABOUT DATABASES BASED ON DATA TRENDS - Data trends that are based on historical data of a database can be used to make estimations and/or predications about the database. In other words, historical trends of a database can be used to make estimation about the data of the database. By way of example, a prediction can be made regarding the data change in the data since the Statistics has been collected. An estimation about data in a database can be used instead of actual data that would have to be collected as Statistics for the database. As a result, Statistics can be collected less frequently but estimation and/or predictions about the database can be used to optimize the execution of queries of the database. Also, collection of Statistics for database can be altered by using estimation about the Statistics of the database by collecting Statistics less frequently or for longer periods of time.06-27-2013
20120303568DELIVERING RECOMMENDATIONS BASED ON USER CONTENT PROFILE - In embodiments of the present invention, a request may be received at a web service facility. The request may be received from a handheld device and may include at least one of: at least one of: content details viewed by a user, content lists viewed by the user, bookmarked content stored by the user, content that may be rated by the user, various locations of usage of the handheld device, and handheld device actions. After the request has been received, the web service facility may process the request by an algorithm. Upon processing the request, the web service facility may send a response to the handheld device, wherein the response comprises at least one of: recommendations and predictions.11-29-2012
20080215516Systems and Methods for Predicting Consequences of Misinterpretation of User Commands in Automated Systems - Systems and methods are provided for processing and executing commands in automated systems. For example, command processing systems and methods are provided which can automatically determine, evaluate or otherwise predict consequences of execution of misrecognized or misinterpreted user commands in automated systems and thus prevent undesirable or dangerous consequences that can result from execution of misrecognized/misinterpreted commands.09-04-2008
20080294584Customized electronic newspapers and advertisements - This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a “target profile” for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a “target profile interest summary” for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media. Users' target profile interest summaries can be used to efficiently organize the distribution of information in a large scale system consisting of many users interconnected by means of a communication network. Additionally, a cryptographically-based pseudonym proxy server is provided to ensure the privacy of a user's target profile interest summary, by giving the user control over the ability of third parties to access this summary and to identify or contact the user.11-27-2008
20090327185SYSTEMS FOR STRUCTURAL CLUSTERING OF TIME SEQUENCES - Arrangements are provided for performing structural clustering between different time series. Time series data relating to a plurality of time series is accepted, structural features relating to the time series data are ascertained, and at least one distance between different time series via employing the structural features is determined. The different time series may be partitioned into clusters based on the at least one distance, and/or the k closest matches to a given time series query based on the at least one distance may be returned.12-31-2009
20090144214Data Processing System And Method - Embodiments of the invention relate to a method of selecting events for prediction, the method comprising determining candidate events for prediction; determining, for each candidate event, a network of cause events associated with the candidate event; determining, for each cause event, a probability of occurrence in respect of the associated candidate events; and selecting candidate events for prediction based on respective confidence levels of the networks of cause events.06-04-2009
20110289037SUGGESTING A TIME FOR LIVE COMMUNICATIONS BASED ON PREVIOUS CONTENT-CONSUMPTION BEHAVIOR - Disclosed is a method for making media consumption more social by suggesting a time when users in a group may engage in live communications while consuming media. First, media-consumption activities of the users in the group are monitored. (For example, the set-top boxes of a cable television system monitor when and what each user watches.) Then, from this and possibly from other information, times when each user will be available for live communications are predicted. Finally, the individual predictions are correlated and, if possible, a future time is suggested when at least some of the users in the group will be available for live communications. Some embodiments use other information, such as electronic calendars, to predict when users may be available. The suggested time may be shown on an electronic program guide for a user watching television and may be added to each user's electronic calendar.11-24-2011
20110295787INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - Disclosed herein is an information processing apparatus including an evaluation information extraction section configured to extract evaluation information including an object targeted to be evaluated and an evaluation of the object targeted to be evaluated from a linguistic expression given as information expressed linguistically by a user of interest; an identification section configured to identify whether the evaluation information is of a first type regarding content or of a second type regarding another user; and an evaluation prediction section configured to predict the evaluation by the user of interest regarding the content, based on the evaluation information of the first type given by the user of interest and on the evaluation information given by the other user in the evaluation information of the second type given by the user of interest.12-01-2011
20110295786BELIEF PROPAGATION PROCESSOR - A processor includes a first memory module for storing a first set of storage values each representing a respective input, and a second memory module for storing a second set of storage values in analog form. An analog module is coupled to the first and the second memory modules. The analog module is configured to, in each operation cycle of at least one iteration, update at least some of the second set of storage values based on the first and the second sets of storage values. An output module is for generating a set of outputs from at least some of the second set of storage values.12-01-2011
20110295785MOBILE E-LEARNING METHOD AND APPARATUS BASED ON MEDIA ADAPTED LEARNING OBJECTS - A method, apparatus and system of a mobile e-learning method and apparatus based on media adapted learning objects are disclosed. In one embodiment, a method includes processing an e-learning course based on a set of executable files and a number of auxiliary files associated with the set of executable files to install the e-learning course to a mobile device with an application program selectively replicating a subset of the set of executable files and the number of auxiliary files to the mobile device presenting the subset of the set of executable files and the number of auxiliary files of the mobile device in a particular sequence when processing a signal data associated with a menu of the e learning course and analyzing an assessment result data based on the subset of the set of files to communicate the assessment result data to a repository of a content management system.12-01-2011
20110302121Environment-Responsive People Matching System and Method - An environment-responsive people matching system and method matches people in accordance with inferences of mutual interests based, at least in part, on environmental conditions local to the people being matched. Other behavioral information, proximity, and mobility inferences may also influence the matching. Relationships with varying degree of affinity between matched people may be generated in accordance with the inferences. Explanations for the suggested matches may be delivered to the matched people.12-08-2011
20130191314METHOD AND SYSTEM FOR EXTRACTING ROUTE CHOICE PREFERENCE OF A USER - A system for extracting route choice preference of a user is provided. The system includes: a key route analysis unit configured to analyze history routes of all users to obtain key routes and their costs; and a user preference extraction unit configured to obtain feature routes of a certain user and their costs based upon the key routes and their costs as well as history routes of the certain user, and to extract route choice preference of the certain user based upon the feature routes of the certain user and their costs. Also provided is a method for extracting route choice preference of a user. The present embodiments enable automatic extraction of route choice preference of a user from history data, without requiring the user to preset his/her own preference.07-25-2013
20090192964SYSTEM AND METHOD FOR COMPARING SYSTEM FEATURES - Embodiments of the disclosed systems and methods establish quantitative and accurate relationships between system features and system objectives. In one embodiment, the systems and methods are particularly suitable to establish the predictive relationships between system fidelity and training objectives. These systems and methods can combine fidelity values defined by end-users, existing theory and research, or objective performance data from experiments. The predictive relationships defined through these methods can feed a model-based decision support tool that helps predict the impact of fidelity on training effectiveness.07-30-2009
20080249969INTELLIGENT AGENT FOR DISTRIBUTED SERVICES FOR MOBILE DEVICES - Mobile devices, mobile device systems and methods applying to mobile devices are provided that employ intelligent agents in combination with a wide array of remote utilities and information sources to facilitate improving a mobile device user's experience. By collecting contextual information from numerous information sources related to the mobile device user's context, more accurate and optimized determinations and/or inferences are formed relating to which remote utilities to make available to the mobile device user. This facilitates less confusion for the user in selecting desired mobile device content, services, and/or applications. The devices, systems, and methodologies also provide for an improved user experience in an open remote utility provider model.10-09-2008
20100088265METHOD, SYSTEM, AND APPARATUS FOR DETERMINING A PREDICTED RATING - Embodiments of the invention can incorporate a method and interface to accomplish one or more of the following three processes: input, analysis, and output. With respect to input, the user(s) identifier(s), item(s) identifier(s), and user(s)-item(s) rating data 04-08-2010
20090006299Method and system for constructing cognitive programs - The present invention is directed to a method of creating a program to solve a problem pertaining to a first task. In the method, user input data pertaining to a second task is received from an operator. The second task is different from the first task. A number of subprograms are automatically obtained based on the received user input data. The program is then created based on the obtained subprogram or subprograms.01-01-2009
20110218953DESIGN OF SYSTEMS FOR IMPROVED HUMAN INTERACTION - A method for evaluating a human interface of a system for appropriate allocation of design guidance including establishing guidelines for avoiding sensory overload conditions of a human interacting with a system, identifying an event associated with the system producing a potential sensory overload condition, and generating a human interface design recommendation based on the guidelines for modifying an operation of the system to help alleviate the potential sensory overload condition associated with the event.09-08-2011
20110191279APPARATUS AND METHOD FOR GENERATING CONTEXT-AWARE INFORMATION USING LOCAL SERVICE INFORMATION - A context-aware information obtaining method and apparatus uses local service information. A communication apparatus may receive local service information associated with a location of the communication apparatus. The communication apparatus may interpret the local service information to generate context-aware information of the communication apparatus.08-04-2011
20090164404METHOD FOR EVALUATING PATENTS - A method includes extracting a plurality of patent parameters from each patent asset of a first data set comprising a first set of patent assets. The plurality of patent parameters of each patent asset of the first data set is fed to a decision tree tool. A decision tree involving interaction between the plurality of patent parameters is generated using a classification based methodology via the decision tree tool. Each patent asset of a second data set including a second set of patent assets is rated based on the generated decision tree. Each patent asset is provided a relative rating, an absolute rating, or a combination thereof.06-25-2009
20090319457METHOD AND APPARATUS FOR STRUCTURAL DATA CLASSIFICATION - Techniques for classifying structural data with skewed distribution are disclosed. By way of example, a method classifying structural input data comprises a computer system performing the following steps. Multiple classifiers are constructed, wherein each classifier is constructed on a subset of training data, using one or more selected composite features from the subset of training data. A consensus among the multiple classifiers is computed in accordance with a voting scheme such that at least a portion of the structural input data is assigned to a particular class in accordance with the computed consensus. Such techniques for structured data classification are capable of handling skewed class distribution and partial feature coverage issues.12-24-2009
20090319458Compiler for Probabilistic Programs - A compiler for probabilistic programs is described. The inputs to the compiler are a definition of a model and a set of inference queries. The model definition is written as a probabilistic program which describes a system of interest. The compiler transforms statements in the probabilistic program to generate source code which performs the specified queries on the model. The source code may subsequently be compiled into a compiled algorithm and executed using data about the system. The execution of the compiled algorithm can be repeated with different data or parameter settings without requiring any recompiling of the algorithm.12-24-2009
20100057657INTELLIGENT PROBLEM TRACKING ELECTRONIC SYSTEM FOR OPTIMIZING TECHNICAL SUPPORT - Embodiments of the present invention address deficiencies of the art in respect to technical support management and provide a novel and non-obvious method, system and computer program product for intelligent problem tracking to optimize technical support. In an embodiment of the invention, a method for intelligent problem tracking can include receiving recorded information of tracked end user behavior collected in an end user computing system while the end user addresses a problem in the end user computing system, determining a level of technical sophistication of the user based upon the recorded information, selecting a technical support level corresponding to the determined level of technical sophistication of the user, and transmitting a resolution to the problem in a message to the end user computing system commensurate with the selected technical support level.03-04-2010
20090150317Information processing apparatus, information processing method and program - An information processing apparatus includes a target storage means, a control means, a decision means, a prediction means and a generating means, in which the decision means, when determining that the system state makes a transition to a state represented by the target value in accordance with the output of the time series of motor signals generated by the generating means, updates a parameter representing the relationship between input and output, which is used by the control means for controlling the system based on the time series of motor signals generated by the generating means and a time series of sensor signals observed in accordance with the output of the time series of motor signals.06-11-2009
20100268680SYSTEMS AND METHODS FOR PRIORITIZING MOBILE MEDIA PLAYER FILES - Disclosed are embodiments of systems and methods for prioritizing mobile media player files by providing for the automated addition and/or deletion of media items for a mobile media player. In some embodiments, a statistical method may be provided for inferring which media items on a mobile media player should be deleted based on, for example, user taste data. In some embodiments, new media items may be loaded onto a user's mobile media player by creating one or more playlists from a playlist builder. The playlist(s) may be created by using user taste data. Rankings may also be created to determine an order for deletion of the media items currently on a mobile media player and/or for addition of new media items to the device.10-21-2010
20100268679Horticultural Knowledge Base for Managing Yards and Gardens - Therefore, the illustrative embodiments provide an apparatus for performing horticultural tasks. In an illustrative embodiment, an apparatus is comprised of a number of data storage devices, a planning process, and a processor unit. The number of data storage devices includes a knowledge base. The processor unit executes the planning process and accesses the knowledge base on the number of data storage devices to identify a horticultural need for a plurality of plants.10-21-2010
20100268678Dynamic Constraint Satisfaction Problem Solver with Hierarchical Union Constraints - A dynamic constraint solver system for solving a constraint satisfaction problem model includes a plurality of ports. The system defines a hierarchical union that includes all problems in a lower port that is in a problem under another port in the model. The system generates a constraint that computes a cardinality of the hierarchical union and determines an included set and an excluded set for the hierarchical union. The system then propagates the included set and excluded set to participating ports of the hierarchical union.10-21-2010
20090150315Neoplastic Disease-Related Methods, Kits, Systems and Databases - In one embodiment, the invention provides methods for predicting a clinical outcome of a patient's neoplastic disease comprising: (a) determining a predictor value algorithmically using patient sample values for (1) at least one tumor marker or at least one immune marker, and (2) at least one marker that is (i) an extracellular matrix (ECM) marker (ii) a marker that is indicative of extracellular matrix synthesis (fibrogenesis), or (iii) a marker that is indicative of extracellular matrix degradation (fibrolysis); and (b) predicting the clinical outcome of the neoplastic disease by evaluating the predictor value.06-11-2009
20090024549Methods and Systems for Determining Entropy Metrics for Networks - Methods and systems for network monitoring using network metrics which are generalized entropy functions of the Markov monoid matrix M generated by an altered connection matrix C.01-22-2009
20090157582METHOD OF ORGANIZING SOFTWARE DESIGN DECISION INSTANCES - A method of organizing received decision instances based on reference architecture, including determining a respective particular project phase attribute for each of the decision instances, classifying the decision instances, determining a respective scope attribute for each of the decision instances, categorizing the decision instances in accordance with each of the respective scope attributes thereof, for all decision instances with the same categorization and with the same classification, ordering the corresponding decision instances by model elements, modeling directed links between apparently dependent decision instances, analyzing the dependent decision instances to confirm that the decision instances satisfy the apparent dependencies represented by the directed links and producing an error message if a result of the analysis is negative, and generating a real-time updateable and/or modifiable to-do list interface.06-18-2009
20120109868Real-Time Adaptive Output - The subject disclosure relates to a technology by which output data in the form of audio, visual, haptic, and/or other output is automatically selected and tailored by a system, including adapting in real time, to address one or more users' specific needs, context and implicit/explicit intent. State data and preference data are input into a real time adaptive output system that uses the data to select among output modalities, e.g., to change output mechanisms, add/remove output mechanisms, and/or change rendering characteristics. The output may be rendered on one or more output mechanisms to a single user or multiple users, including via a remote output mechanism.05-03-2012
20090119238METHOD AND SYSTEM FOR PREDICTING RESOURCE USAGE OF REUSABLE STREAM PROCESSING ELEMENTS - A method is provided for generating a resource function estimate of resource usage by an instance of a processing element configured to consume zero or more input data streams in a stream processing system having a set of available resources that comprises receiving at least one specified performance metric for the zero or more input data streams and a processing power of the set of available resources, wherein one specified performance metric is stream rate; generating a multi-part signature of executable-specific information for the processing element and a multi-part signature of context-specific information for the instance; accessing a database of resource functions to identify a static resource function corresponding to the executable-specific information and a context-dependent resource function corresponding to the context-specific information; combining the static resource function and the context-dependent resource function to form a composite resource function for the instance; and applying the resource function to the at least one specified performance metric and the processing power to generate the resource function estimate of the at least one specified performance metric for processing by the instance.05-07-2009
20110173147FACTORED ENVISIONING FOR DECISION SUPPORT - A system and method provides decision support for planning in an environment where a competition for use of resources exist and events affecting the planning are occurring dynamically. A system model of an actual system is provided. Then in a dynamic factored manner, an envisionment related to at least some aspects of the system model is built. From this envisionment output is generated related to at least some aspects of the system model. Finally, changes are made to the actual system, based on the generated output thereby changing a configuration and/or operation of the actual system.07-14-2011
20090094182AUTOMATED METHODS AND SYSTEMS FOR THE DETECTION AND IDENTIFICATION OF MONEY SERVICE BUSINESS TRANSACTIONS - The present disclosure provides an automated method for the detection and identification of money service business transactions, including: performing a preprocessing operation, wherein the preprocessing operation includes filtering a dataset; performing a feature extraction operation, wherein the feature extraction operation includes extracting predetermined features from a transaction signal; performing a statistical analysis operation for the testing of significance of extracted features and dimension reduction; and performing one or more of a nonlinear classification operation and a linear classification operation, wherein the nonlinear or linear classification operation includes classifying data that appears to be related to a money service business transaction.04-09-2009
20100082513System and Method for Distributed Denial of Service Identification and Prevention - Systems and methods for discovery and classification of denial of service attacks in a distributed computing system may employ local agents on nodes thereof to detect resource-related events. An information later agent may determine if events indicate attacks, perform clustering analysis to determine if they represent known or unknown attack patterns, classify the attacks, and initiate appropriate responses to prevent and/or mitigate the attack, including sending warnings and/or modifying resource pool(s). The information layer agent may consult a knowledge base comprising information associated with known attack patterns, including state-action mappings. An attack tree model and an overlay network (over which detection and/or response messages may be sent) may be constructed for the distributed system. They may be dynamically modified in response to changes in system configuration, state, and/or workload. Reinforcement learning may be applied to the tuning of attack detection and classification techniques and to the identification of appropriate responses.04-01-2010
20100082514INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM - Necessary display count information about a count that predetermined content data should be displayed in a predetermined display device in a displayable period is acquired, display result count information about the display result count that the predetermined content data is displayed between a start of the displayable period and a present time is acquired, the display estimated count that the predetermined content data should be displayed in any period of the displayable period from the present time is decided based on the displayable period, the necessary display count information, and the display result count information, display time zone information about time zones in which the predetermined content data can be displayed in the predetermined display device is acquired, and a display start time at which the content data is displayed in the predetermined display device is decided based on the display estimated count and the display time zone information.04-01-2010
20110125695Hardware Processing of Regular Expressions - A system and method for hardware processing of regular expressions is disclosed. A register bank is loaded with state information associated with one or more states of a state machine. State information such as transitions and spin counts are updated as characters of an input data stream are processed. A crossbar is used to interconnect the states stored in the register bank.05-26-2011
20100100516Predicting User-Item Ratings - A method of predicting user-item ratings includes providing a first matrix of hidden variables associated with individual items, a second matrix of hidden variables associated with individual users, a third matrix of predicted user-item ratings derived from an inner product of vectors in the first and second matrices, and a fourth matrix of actual user-item ratings. The first and second matrices are alternately fixed and solved with a weighted-λ regularization of at least one of the first and second matrices by minimizing a sum of squared errors between actual user-item ratings in the fourth matrix and corresponding predicted user-item ratings in the third matrix repeatedly until a stopping criterion is satisfied.04-22-2010
20110173148INTEGRATING INTERVAL CONSTRAINT PROPAGATION WITH NONLINEAR REAL ARITHMETIC - A system and method for deciding the satisfiability of a non-linear real decision problem is disclosed. Linear and non-linear constraints associated with the problem are separated. The feasibility of the linear constraints is determined using a linear solver. The feasibility of the non-linear constraints is determined using a non-linear solver which employs interval constraint propagation. The interval solutions obtained from the non-linear solver are validated using the linear solver. If the solutions cannot be validated, linear constraints are learned to refine a search space associated with the problem. The learned constraints and the non-linear constraints are iteratively solved using the non-linear solver until either a feasible solution is obtained or no solution is possible.07-14-2011
20090228417Method and system for optimizing mixed integer programming solutions - Systems and methods for generating improved solutions to MIP models are described. The present invention involves the use of a polishing algorithm that uses mutation and combination of solutions within a solution pool to generate improved solutions. The polishing algorithm first randomly selects one or more seed solutions from a solution pool for mutation. The selected seed solutions are mutated by fixing a subset of integer variables in the models to the value they take in the seed solution. The remaining variables are then formulated into a sub-MIP problem that is solved by the MIP solver. The solutions generated from this mutation process may then be added to the solution pool. After the one or more iterations of the mutation processes have taken place, the polishing algorithm then selects one or more pluralities of parent solutions from the solution pool to use in generating offspring solutions. The integer variables that agree between one plurality of parent solutions are fixed in the offspring solution. The remaining variables are then formulated into a sub-MIP problem that is solved by the MIP solver. The offspring solutions generated by the combination process may then also be added to the solution pool.09-10-2009
20090089236Method and System for Identifying Information Related to a Good - A method and a system identify information placed on a good to be processed, and the way of processing the good depends on this information. With regard to the method, the following steps are performed reading the information by an identifier and speaking the information as a voice message into an information retrieval system; delivering the voice message to a plurality of voice recognition systems; analyzing the voice message in each of the plurality of voice recognition systems and identifying a preliminary result; evaluating the preliminary results in order to identify the most probable result among the preliminary results best matching the initial information; and assigning the most probable result to the respective good. The system provides a reliable, high-speed multi speech recognition even in high ambient noise environments without the cost and complexity of introducing an OCR.04-02-2009
20090089235PATTERN IDENTIFICATION METHOD, PARAMETER LEARNING METHOD AND APPARATUS - In a pattern identification method in which input data is classified into predetermined classes by sequentially executing a combination of a plurality of classification processes, at least one of the classification processes includes a mapping step of mapping the input data in an N (N≧2) dimensional feature space as corresponding points, a determination step of determining whether or not to execute the next classification process based on the corresponding points, and selecting step of selecting a classification process to be executed next based on the corresponding points when it is determined in the determination step that the next classification process should be executed.04-02-2009
20080208784Systems and methods for modeling and analyzing networks - The systems and methods described herein utilize a probabilistic modeling framework for reverse engineering an ensemble of causal models, from data and then forward simulating the ensemble of models to analyze and predict the behavior of the network. In certain embodiments, the systems and methods described herein include data-driven techniques for developing causal models for biological networks. Causal network models include computational representations of the causal relationships between independent variables such as a compound of interest and dependent variables such as measured DNA alterations, changes in mRNA, protein, and metabolites to phenotypic readouts of efficacy and toxicity.08-28-2008
20080275834Solution recommendation based on incomplete data sets - In accordance with one aspect of the present exemplary embodiment, a system determines a solution based on received data. An intake component receives an incomplete data set from one or more sources. A recommendation system transforms the incomplete data set into a semantic data set via latent semantic indexing, classifies the semantic data set into an existing cluster and provides one or more solutions of the existing cluster as one or more recommendations.11-06-2008
20090171878PROVABLE DATA INTEGRITY VERIFYING METHOD, APPARATUSES AND SYSTEM - The present invention proposes a Provable Data Integrity (PDI) verifying method, in which data are firstly fingerprinted at a client, and the fingerprints are sent to an archive along with the data; when necessary, the client sends a “challenge” to the archive so as to determine the integrity of the data, and the archive proves the integrity of the data by using the received fingerprints; and finally, the client verifies the integrity of the data based on the output from the archive in response to the “challenge”.07-02-2009
20090037358Computer Program Product and System for Autonomous Classification - An autonomous classification device which enables the creation of autonomous classifiers that are easy to deploy, adapt and optimize in the environment in which they are used. The classifier is autonomous in that it can perform three functions that define autonomic systems: automatically configure itself in an environment, optimize its performance using the environment and mechanisms for performance, and continually adapting to improve performance and heal itself in a changing environment.02-05-2009
20090037357COMPUTER ARCHIVE TRAVERSAL - A method and apparatus for computer file system traversal. An embodiment of a method includes obtaining a computer archive, the computer archive including one or more data elements. The computer archive is traversed, with traversing the computer archive including processing a data element of the computer archive. Processing a data element includes reading a name of the data element, and determining whether to process the first data element based on the name of the first element. If the first data element is to be processed, the data element is extracted and traversal of the first data element continues. If the data element is not to be processed, the data element is skipped. A serial data stream representing selected data elements of the computer archive is output.02-05-2009
20080243744ADAPTIVE MULTI-CHANNEL ANSWERING SERVICE FOR KNOWLEDGE MANAGEMENT SYSTEMS - Embodiments of the present invention address deficiencies of the art in respect to inquiry resolution for KM systems and provide a method, system and computer program product for multi-channel answering services for inquiry resolution in a KM system. In an exemplary embodiment of the invention, a method for multi-channel answering services for inquiry resolution in a KM system can include receiving a request for interaction with an answering server of the KM system, extracting question text from the request along with question text meta-data, and deducing a context for the question text from the question text meta-data. Thereafter, the context can be analyzed to determine a preferred channel of communication, a preferred mode of interaction and a preferred delivery format for interacting with the answering server. Finally, the answer content can be provided for the question text according to the preferred channel of communication, the preferred mode of interaction and the preferred delivery format.10-02-2008
20080249972SOFTWARE FRAMEWORK THAT FACILITATES DESIGN AND IMPLEMENTATION OF DATABASE APPLICATIONS - An intelligent framework is provided that is disposed between a high-level language environment and a database system environment. According to one embodiment, a software framework infers the need for one or more integrity constraints. The software framework programmatically receives (a) information regarding definitions of a multiple data structures associated with multiple objects participating in a software application, and (b) information regarding relationships among the data structures, where each object represents an instance of a data structure of the multiple data structures. Then, the software framework infers the need for one or more integrity constraints based upon the information regarding definitions of the data structures and the information regarding relationships among the data structures. Finally, the software framework instructs a storage system to apply the one or more integrity constraint.10-09-2008
20080249971Process and Heuristic Statistic for Prospect Selection Through Data Mining - Method, system, and article of manufacture for selecting prospects for a product promotion though data mining. An initial set of prospects in a customer database is identified, by data mining, as initially identified prospects based on predetermined selection criteria. The number of initially identified prospects is compared to a target number of prospects. When the number of initially identified prospects matches the target number of prospects, the initially identified prospects are utilized as the final selection of prospects. When the number of initially identified prospects mismatches the target number of prospects, the final selection of prospects is determined by performing a culling process or an augmenting process to reduce or increase, respectively, the initial set of prospects using a heuristic measure H, until the number of prospects in the initial set of prospects matches the target number of prospects.10-09-2008
20130218823METHOD AND SYSTEM FOR ANALYSING FLIGHT DATA RECORDED DURING A FLIGHT OF AN AIRCRAFT - The present invention concerns a method for analysing a so-called first set of flight data, the values of which were recorded during a flight of an aircraft and in which at least one subset of flight data, comprising at least one of the flight data of the first set and/or at least one flight data item of a second set, provided that at least one of its data exceeds its nominal value, is defined by correlation of the value of at least one flight data item of the first set with the value of at least one of the flight data of the second set. A flight event is then able to be detected from the values of the flight data of a subset and the values of the flight data of one of the second sets of flight data and, if a flight event is not detected from a subset, a probability of pairing between at least one second set and this subset is associated with this subset, the first set is then updated by adding at least one new flight data item of at least one second set and/or by deleting at least one of its flight data, according to the pairing probability values, the first set of flight data thus updated is then once again recorded during a new flight, and the method is iterated as long as an expert cannot make a decision on this subset.08-22-2013
20080228685User intent prediction - In a process comprising a sequence of elections, a future election intended by a user is predicted from a frequent sequence of elections by the user and a frequent sequence of elections by a plurality of other users of the process or device.09-18-2008
20080288430SYSTEM AND METHOD TO INFER ANOMALOUS BEHAVIOR OF MEMBERS OF COHORTS AND INFERENCE OF ASSOCIATE ACTORS RELATED TO THE ANOMALOUS BEHAVIOR - Inferring a probability of a first inference absent from a database at which a query regarding the inference is received. The first inference relates to identifying anomalous behavior of cohorts members, which identification can be used to identify crimes that are particularly difficult to detect, such as identity theft. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.11-20-2008
20090265294Estimating Device and Method, and Program - An estimating device includes: a predictive computing unit configured to estimate, based on an evaluation matrix made up of an evaluation value indicating an evaluation as to each of multiple evaluation targets for each of multiple users, and an estimated expression for estimating the evaluation value by computation employing the evaluation matrix, the evaluation value of the evaluation target which has not been subjected to an evaluation by the user, and obtain a predictive evaluation value which is the estimated evaluation value; and a linear combining unit configured to subject a plurality of the predictive evaluations obtained by employing a plurality of the estimated expressions to linear combination by employing a linear combination coefficient, thereby obtaining a final estimation result of an evaluation as to the evaluation target which has not been subjected to the evaluation by the user.10-22-2009
20080313119LEARNING AND REASONING FROM WEB PROJECTIONS - A system and method that facilitates and effectuates making an inference related to objects of interest within a context. A web projection component can generate sub graphs by projecting objects o interest onto a web graph representing a superset or partially overlapping set of objects to the objects of interest. An inference component can provide inferences relating to the quality of the objects of interest, adjustments to the context, and patterns recognized from graphical properties of the sub graphs.12-18-2008
20090327189DYNAMIC ONTOLOGY-DRIVEN TEMPLATE SELECTION - One aspect of the present invention includes dynamically selecting templates through the use of an ontology. In one embodiment, an ontology is defined to structure information system content, and an ontology classification is then assigned when content is provided to the information system. Based on this classification, the most appropriate template classified in the ontology is applied to the content. If a template exists at the content item's ontology level, this template is applied to the content. If no template exists, then the ontology tree is navigated upward to locate a template at the nearest ancestor ontology level. If a template was found by navigating the ontology tree, then this template is applied to the content item.12-31-2009
20080243746Compact Decision Diagrams - In one embodiment, a method includes determining an initial projected size of a BDD representing data for storage. The projected size corresponds to an initial projected number of decision nodes composing the BDD. The method includes determining an initial node structure for the decision nodes of the BDD according to the initial projected size of the BDD. The initial node structure includes for each decision node a variable identifier (ID), a 1-edge pointer, and a 0-edge pointer each represented by a minimum number of bits accommodating the initial projected number of decision nodes composing the BDD.10-02-2008
20080235172Electronic System Condition Monitoring and Prognostics - A system for monitoring and predicting the condition of an electronic system comprises a component model, an inference engine based on the component model, and an action selection component that selects an action based on an output of the inference engine.09-25-2008
20120143807Facts Screening and Transforming Processor - Be TT.p the “technique teaching” of a patent or venture and RS a “reference set” of prior art technique teachings TT.i, any element of any TT described by attributes. Then the FSTP (semi)automatically determines their “technical secondary structured fact, ”, 06-07-2012
20090164402SYSTEM AND METHOD FOR ANNOTATING AND RANKING REVIEWS WITH INFERRED ANALYTICS - The present invention is directed towards methods and computer readable media for annotating and ranking user reviews on social review systems with inferred analytics. A reference framework is provided by creating context according to previous activity, bias, or background information of a given reviewer. The method of the present invention comprises receiving a first query identifying a given content item, generating a collection of content items based on one or more identical objective attributes associated with the given content item, identifying one or more subjective attributes associated with a given item in the collection of items, and providing a reference framework to interpret the subjective attributes associated with each item in the collection.06-25-2009
20090138423VEHICLE HEALTH MONITORING REASONER ARCHITECTURE FOR DIAGNOSTICS AND PROGNOSTICS - A health monitoring system for a vehicle system includes a plurality of managers and a decision support module. Each manager corresponds to a different sub-system of the vehicle system, and generates manager output pertaining to the sub-system based at least in part on an intermediate output. Each manager comprises a plurality of reasoners. Each reasoner corresponds to a different component of the sub-system, and comprises a plurality of modules and a reasoner fusion block. Each module obtains data regarding a different aspect of the component and generates a preliminary output based on the data. The reasoner fusion block is coupled to the plurality of modules, receives the preliminary output, and generates the intermediate output based on the preliminary output. The decision support module is coupled to the plurality of managers, receives the manager output therefrom, and provides a decision support output based on the manager output.05-28-2009
20090164403Methods and systems for indicating behavior in a population cohort - Avatars, methods, apparatuses, computer program products, devices and systems are described that carry out identifying a member of a population cohort; and indicating at least one behavior in the member of the population cohort based on an association between the population cohort and at least one cohort-linked avatar.06-25-2009
20090144215SYSTEM AND METHOD FOR PROVIDING INTELLIGENT PRE-STAGING OF DATA IN A COMPUTE ENVIRONMENT - A system, computer-readable medium and method for performing intelligent data pre-staging for a job submitted to a cluster environment. The method aspect comprises determining availability of compute resources including availability timeframes to process the submitted job, determining data requirements for processing the job and determining a co-allocation in time reservation.06-04-2009
20090287626MULTI-MODAL QUERY GENERATION - A multi-modal search system (and corresponding methodology) is provided. The system employs text, speech, touch and gesture input to establish a search query. Additionally, a subset of the modalities can be used to obtain search results based upon exact or approximate matches to a search result. For example, wildcards, which can either be triggered by the user or inferred by the system, can be employed in the search.11-19-2009
20090006298IT RESOURCE EVENT SITUATION CLASSIFICATION AND SEMANTICS - An off-line knowledge acquisition process takes IT resource messages and automatically generates a set of rules used to provide situation categories for the resource messages/events. The off-line knowledge acquisition process generates an event-to-situation mapping file for efficiently mapping situation to events in runtime. Rules are fed back into a knowledge repository and process for reuse. The off-line knowledge acquisition process provides methods to reiterate the process of mining (autonomically and/or by human interaction) to improve the rules and confidence level assigning the situation categories. A runtime categorizer component uses the event-to-situation mapping file to add situation categories to the IT resource events. The runtime categorizer uses a plurality of annotator components each capable of adding a situation annotation to incoming messages based on rules generated by the off-line knowledge acquisition process. An assessment component chooses the best situation category from those annotated by the annotator components.01-01-2009
20090177605RISK ASSESSMENT WITHIN AN AIRCRAFT - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within an aircraft. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score.07-09-2009
20090177607SITUATION PRESENTATION SYSTEM, SERVER, AND COMPUTER-READABLE MEDIUM STORING SERVER PROGRAM - A situation presentation system includes a terminal and a server. The terminal includes a situation data acquisition device that acquires situation data and a terminal transmission device that transmits the situation data to the server. The server includes a server situation data storage device that stores the situation data transmitted from the terminal, a content storage device that stores a content including a character string, a condition determination device that analyzes the character string included in the content to determine a situation data condition, a situation data extraction device that extracts the situation data that satisfies the situation data condition from the server situation data storage device, a content update device that stores the analyzed content into the content storage device after adding at least one of edited data and the extracted situation data to the content, and a presentation device that presents the content.07-09-2009
20090177606RISK ASSESSMENT IN A PRE/POST SECURITY AREA WITHIN AN AIRPORT - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a pre/post security area within an airport. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives inference data comprising inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score.07-09-2009
20090177604Telecommunications-Based Social-Trust Networks - A method of facilitating the construction, maintenance, and usage of social-trust networks is disclosed. The illustrative embodiment monitors the call processing details of communication events between users of a telecommunications system as the basis for estimating whether or not a relationship exists between the users that can be exploited in a social-trust network. This is possible because the call processing details of communication events between users is an excellent indicator of the nature of the relationship between users. For example, if Alice calls Brian three times a day on average, including nights, weekends, and holidays, and Brian answers Alice's calls quickly and returns her unanswered calls quickly, then it is reasonable to infer that Alice and Brian have a relationship that is substantial enough to be used in a social-trust network.07-09-2009
20090055339PROCESS AND APPARATUS FOR EVALUATING OPERATIONAL RISKS FOR AIDING IN VEHICULAR MAINTENANCE DECISIONS - The invention relates to a method and devices for evaluating operational risks in order to aid in the decisions concerning maintenance operations on vehicles during scheduled utilization of the vehicle. Scheduled utilization comprises at least one utilization period. After the degradation of at least one of the components of the vehicle has been analyzed (02-26-2009
20090055338System, method and computer program product for interfacing a decision engine and marketing engine - A system, method and computer program product for interfacing a decision engine and a marketing engine in order to provide vendor-related data in response to decision-related data is disclosed. In at least one embodiment, the system and method may include providing a decision engine on a user-accessible network; interfacing a marketing engine with the decision engine on the network; receiving a plurality of user inputs with the decision engine; processing decision-related data with the decision engine in accordance with the plurality of user inputs; sharing the decision-related data with the marketing engine; processing the decision-related data with the marketing engine; and transmitting vendor-related data via the network.02-26-2009
20090327187CONNECTIVITY IN A PEER NETWORK - Improving connectivity in a peer-to-peer (P2P) network involves packet forwarding by infrastructure or peers. A system can achieve full connectivity and a setup for transactions that takes a fraction of a second. The system can include a routing table that is initially configured so that packets to peers are routed via the infrastructure. NAT traversal heuristics can be employed to establish direct connections between peers in parallel with packet forwarding in accordance with the routing table. When a direct connection is ready, the routing table can be updated so that packets are sent P2P. If a direct connection cannot be made, the routing table can be updated so that the packets are sent through a peer intermediary without going through the infrastructure.12-31-2009
20090144213GRAPH PATTERN RECOGNITION INTERFACE - In some example embodiments, a system and method are illustrated as including receive pattern data that includes transaction data relating to transactions between persons. Next, the system and method may include building at least one secondary network based upon the pattern data. Additionally, the system and method may include displaying the at least one secondary network.06-04-2009
20090259610VERIFICATION SUPPORT APPARATUS, VERIFICATION SUPPORT METHOD, AND COMPUTER PRODUCT - A verification support apparatus includes an identifying unit that, by using a pre-change specification and a post-change specification given before and after a specification change in a subject to be verified, identifies an area that has changed from among a plurality of specification items included in the post-change specification and a selecting unit that selects a specification item from among the areas identified by the identifying unit. The verification support apparatus further includes a searching unit that, by referring a transition graph concerning the specification items included in the post-change specification and by tracing specification items as origins of transitions from a starting point that is the specification item selected by the selecting unit, searches for a route made up of specification items affected by the specification change; and an output unit that outputs a search result of the searching unit.10-15-2009
20090083207Event-Based Anticipation Systems, Methods and Computer Program Products for Associative Memories - A time of occurrence of an interest event of multiple events is anticipated based on time intervals between at least two previously occurring events and a previous occurrence of the interest event and based on a new occurrence of at least one of the events. For a respective event, multiple inter-event interval pairs based on occurrence times of pairs of respective remaining events relative to an occurrence time of the respective event are memorized. For a respective event, a time of future occurrence of the interest event from the respective event is predicted based on the inter-event interval pairs that have been memorized. The predicted time of future occurrence is also based on the new occurrence of the respective event and at least one of the events to obtain multiple interest event predictions of times of future occurrences of the interest event. The predictions are processed to generate an anticipated time when the interest event will occur in the future. A user is presented at least one of the interest event predictions and/or the anticipated time when the interest event will occur in the future.03-26-2009
20090248602SYSTEMS AND METHODS FOR PRIORITIZING CONTENT BASED ON USER PROFILE RELEVANCE - In an exemplary method, a request for content initiated by a user associated with a user profile is received, a plurality of content instances is identified as being related to the requested content based on a predefined relationship heuristic, wherein the content instances are associated with other user profiles, a relevance between the user profile and each of the other user profiles is determined based on a predefined relevance heuristic, and the content instances are prioritized based on the determined relevance. In certain embodiments, data representative of the prioritized content instances is displayed in accordance with the prioritization.10-01-2009
20090063379AUTOMATED DECISION-MAKING BASED ON COLLABORATIVE USER INPUT - A system and method solicit decision-making input from a large number of users in a structured manner that facilitates generation of useful recommendations. The individual seeking advice posts a request for advice in the form of a decision question, or identifies a previously posted decision question. Visitors to the website can post secondary questions that are intended to assist the advice-seeker in making the decision. For each secondary question, the user posting the question can specify which choice for the decision question is recommended by each answer to the secondary question. The user can also specify a strength for the recommendation. The advice-seeker then inputs answers to the secondary questions. The advice-seeker can indicate a relative significance value for some or all of the answers. For each secondary answer, a score is generated. Scores are totaled and the results are provided to the advice-seeker to assist in decision-making.03-05-2009
20120143808APPARATUS, SYSTEM, AND METHOD FOR OBJECT DETECTION AND IDENTIFICATION - An apparatus, system, and method are disclosed for identifying a target object. An object detection module detects objects by matching data from one or more sensors to known data of a target object and determining one or more correlation metrics for each object. An object tracking module tracks geographic locations for detected objects over time using subsequent data from the one or more sensors. A contextual data module determines one or more contextual indicators for detected objects based on the data from the one or more sensors. An artificial intelligence module estimates probabilities that detected objects comprise the target object based on the correlation metrics, the geographic locations, the contextual indicators, and one or more target contextual indicators associated with the target object. The artificial intelligence module estimates the probabilities using an artificial intelligence model, such as a Bayesian network.06-07-2012
20090083206Apparatus and Method for Constructing Prediction Model - A prediction model constructing apparatus includes a operational result database, similarity calculating means, and prediction model constructing means. The operational result database relates manufacturing conditions of a product manufactured in the past to result information on the manufacturing, and stores a plurality pieces of information obtained by relating the manufacturing conditions to the result information. The similarity calculating means calculates a similarity composed of a plurality of comparison results by comparing the manufacturing conditions stored in the operational result database with a manufacturing condition of a prediction target. The prediction model constructing means determines a parameter of a prediction model corresponding to the manufacturing condition of the prediction target.03-26-2009
20120078831BREAST IMPLANT SURGICAL DECISION SUPPORT SYSTEM AND METHOD - Computer-assisted planning of breast implant surgery apparatus and methods are provided which generally include an anatomical input module configured to receive anatomical information indicative of pre-implant anatomical properties of a patient's breast, a preference module configured to receive preference information indicative of a desired post-implant anatomical property of a patent's breast, a tissue expander selection module configured to receive the anatomical and the preference information, and, based at least in part on the anatomical and preference information, to output recommended expander information indicating at least one tissue expander from an available plurality of tissue expanders, and an implant selection module configured to receive the anatomical and the preference information, and, based at least in part on the anatomical and preference information, to output recommended implant recommendation information indicating at least one implant from an available plurality of implants.03-29-2012
20120078830PEER-DERIVED MEDIA RECOMMENDER - Peer-to-peer media item recommendations are provided by presenting a selected list of media items to a first user to consider for recommendation to a friend, receiving an indication from the first user that one or more of the presented media items are to be recommended to the friend, and presenting the one or more indicated media items to the friend. The presented list comprises media items the friend hasn't rated, and is selected using a media recommendation engine.03-29-2012
20110231354TRANSPORT MANAGEMENT SYSTEM - A car pooling transport management system (09-22-2011
20100121802MANAGEMENT OF SUB-PROBLEMS IN A DYNAMIC CONSTRAINT SATISFACTION PROBLEM SOLVER - A solver solves a dynamic constraint satisfaction problem that is modeled as a constraint network of variables and constraints. The solver generates a dynamic sub-problem facility that includes one or more sub-problem pools that each comprises a sub-problem type, one or more sub-problems for the sub-problem type, and one or more clients for the sub-problem type. The solver generates a sub-problem set domain that comprises zero or more included sub-problems and zero or more excluded sub-problems. The solver synchronizes the sub-problem set domain with the dynamic sub-problem facility.05-13-2010
20110125691System and method for output of comparison of physical entities of a received selection and associated with a social network - A method includes, but is not limited to: obtaining assessment information being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the assessment information based at least in part on a comparing being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the comparing being between one or more first physical entities and one or more second physical entities, the comparing based at least in part on receiving a selection of the one or more first physical entities, the receiving the selection being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the selection being based at least in part on each of the one or more first physical entities being associated with an electronic based social networking service, the comparing being based at least in part upon status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and outputting output information at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part upon one or more elements of the assessment information. In addition to the foregoing, other related system/system aspects are described in the claims, drawings, and text forming a part of the present disclosure.05-26-2011
20110125689System and method for physical attribute status comparison of physical entities including physical entities associated with a social network and selected based on location information - A method includes, but is not limited to: selecting, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, one or more first physical entities based at least in part upon location information, the selecting the one or more first physical entities for comparing the one or more first physical entities with one or more second physical entities, each of the one or more first physical entities associated with an electronic based social networking service, obtaining, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and determining, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, assessment information by at least in part comparing the one or more first physical entities with the one or more second physical entities based at least in part upon the status information about the one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities. In addition to the foregoing, other related method/system aspects are described in the claims, drawings, and text forming a part of the present disclosure.05-26-2011
20090094181METHOD OF ESTIMATING SALT CONTAMINATION - A method of estimating a salt contamination is provided. The method includes preparing salt contamination data measured at a plurality of areas, preparing geographical factor data of areas for estimating, preparing rainfall amount data near the areas, setting a correlation expression having the geographical factor and the rainfall amount as variables, and estimating salt contamination of the areas for estimating according to the rainfall amount.04-09-2009
20090006297OPEN-WORLD MODELING - The claimed subject matter provides systems and/or methods that facilitate generating an inference about events that may not have yet been observed. Open-world modeling can be used to take a history of observation so as to understand trends over time in the revelation of previously unseen events, and to make inferences with subsets of data that new unseen events will be seen. Thus, inaccuracies associated with predictions generated from incomplete data sets can be mitigated. To yield such predictions, open-world submodels and closed-world submodels that do not allow for previously unseen events can be combined via a model mixture methodology, which fuses inferences from the open- and close-world models.01-01-2009
20090222393EFFICIENT DECISION PROCEDURE FOR BOUNDED INTEGER NON-LINEAR OPERATIONS USING SMT(LIA) - Systems and methods are disclosed for deciding a satisfiability problem with linear and non-linear operations by: 09-03-2009
20090106179SYSTEM AND METHOD FOR THE LONGITUDINAL ANALYSIS OF EDUCATION OUTCOMES USING COHORT LIFE CYCLES, CLUSTER ANALYTICS-BASED COHORT ANALYSIS, AND PROBABLISTIC DATA SCHEMAS - A computer implemented method, computer program product, and data processing system for performing analysis on a plurality of data stored in a database. In an illustrative method, a first cohort is generated from the plurality of data. An optimal control cohort is generated from the plurality of data. Generating is performed based on the first cohort and at least one constraint, and a mathematical process is used to derive the optimal control cohort. A first inference is generated based on a comparison of the first cohort to the optimal control cohort, wherein the first inference is absent from the database. In an illustrative example, the first inference is stored.04-23-2009
20090248601EXPLOITING DOUBLE RESOLUTIONS FOR PROOF OPTIMIZATIONS - A method for simplifying resolution proofs in DAG format where each leaf node represents a clause and each internal node represents a resolution between its children includes representing a SAT proof as a stripped proof, analyzing pivots to identify redundant resolutions, and constructing a simplified proof without the redundant resolutions.10-01-2009
20090222392DYMANIC INTERACTIVE ENTERTAINMENT - Disclosed are various embodiments of systems and methods for generating composite mediasets from mediasets, each comprising media items, associated with a plurality of users. In some embodiments, individual and/or group recommendations are provided for creating a group playlist by aggregating user taste data for a plurality of users in a group. In other embodiments, systems and methods are provided which allow for sharing and playing of a group playlist by users in a group, each of which has a media playback device. In still other embodiments, systems and methods are provided for dynamically building a composite playlist that may be updated as users enter and/or leave the group. One example of an interactive entertainment application also is described for use at a venue to entertain live guests with music selections that are dynamically influenced by the guests' individual tastes.09-03-2009
20100274749Constraint Based System With Domain Splitting - A solver for a constraint satisfaction problem includes a plurality of variables and a plurality of constraints. A floating point variable has a domain and is assigned a value by first determining if a predetermined value can be assigned to the floating point variable if the predetermined value is in the domain. If not, the solver determines if a bound of the domain can be assigned to the floating point variable. If the predetermined value can not be assigned to the floating point variable and the bound of the domain can not be assigned to the floating point variable, the solver assigns a value to the floating point variable using domain splitting.10-28-2010
20090254505RECONFIGURABLE HARDWARE ACCELERATOR FOR BOOLEAN SATISFIABILITY SOLVER - A hardware accelerator is provided for Boolean constraint propagation (BCP) using field-programmable gate arrays (FPGAs) for use in solving the Boolean satisfiability problem (SAT). An inference engine may perform implications. Block RAM (BRAM) may be used to store SAT instance information. Computation may be co-located with the BRAM memory, taking advantage of the high on-chip bandwidth and low latency of an FPGA. SAT instances may be partitioned into multiple groups that can be processed by multiple inference engines in parallel. New SAT instances can be inserted into FPGA without invoking the time-consuming FPGA re-synthesizing process.10-08-2009
20090254504ADAPTIVE INFORMATION TECHNOLOGY SOLUTION DESIGN AND DEPLOYMENT - A set of information technology solution alternatives is generated for an enterprise organization. The information technology solution alternatives are evaluated within an automated architectural framework based upon one or more information technology evaluation metrics. An automated incremental solution deployment strategy is created based upon the evaluated plurality of information technology solution alternatives. An information technology solution is selected from the set of information technology solution alternatives for deployment based upon the automated incremental solution deployment strategy.10-08-2009
20090254503METHOD AND SYSTEM FOR AUTOMATED EXPERTISE EXTRACTION - A method and system for expertise extraction for an expert system, is provided. One implementation involves modeling active learning for interrogating an expert for knowledge as attributes of an n-dimensional hyper-cube where each attribute represents a possible output and every dimension represents a feature in a feature space; dividing the n-dimensional hyper-cube into m different attributes, each attribute representing a union of at most p cubes, wherein the n dimensions represent n boolean inputs and the m attributes represent m possible outputs; and discovering all possible outputs by querying a portion of the feature space for generating queries to an expert for all possible outputs, including obtaining at least one representative input for each of the m possible outputs, while using a limited number of queries to the hyper-cube.10-08-2009
20100138373Maximizing Diversity in a Subset of Elements Utilizing GRASP With Path Relinking - Methods, systems, and computer-readable media for maximizing diversity in a subset of elements selected from a set of elements are provided. An algorithm that combines the GRASP and path relinking heuristics is utilized to find an approximate solution to a max-min diversity problem modeled from the set of elements. The GRASP heuristic is applied to the set of elements for a number of iterations to generate a set of feasible solutions, and a best solution is determined from the set. The path relinking heuristic is then applied between a pair of solutions in the set of feasible solutions to generate a candidate solution. If the candidate solution is better than the best solution, then the best solution is replaced with the candidate solution, and the process is repeated until the path relinking heuristic has been applied between each pair of solutions in the set of feasible solutions.06-03-2010
20100185574NETWORK MECHANISMS FOR A RISK BASED INTEROPERABILITY STANDARD FOR SECURITY SYSTEMS - Methods for managing risk values at divestiture (e.g., a passenger checks luggage) and aggregating risk values over a grouped entity (e.g. a passenger with all his/her items).07-22-2010
20100161534PREDICTIVE GAUSSIAN PROCESS CLASSIFICATION WITH REDUCED COMPLEXITY - A computer-implemented method of generating a model of a sparse GP classifier includes performing basis vector selection and adding a thus-selected basis vector to a basis vector set, including performing a margin-based method that accounts for predictive mean and variance associated with all the candidate basis vectors at that iteration. Hyperparameter optimization is performed. The basis vector selection step and hyperparameter optimization step are such that the steps are alternately performed until a specified termination criteria is met. The selected basis vectors and optimized hyperparameters are stored in at least one tangible computer readable medium organized in a manner to be usable as the model of the sparse GP classifier.06-24-2010
20100185575METHOD FOR OPTIMIZING THE SCANNING PROCESS OF A MOBILE TERMINAL - A method for optimizing the scanning process of a mobile terminal, the scanning process being performed by the mobile terminal in order to discover an available network to which a connection is possible, wherein at least a part of existing networks is registered to a server, wherein the server provides its information regarding the registered networks to the mobile terminal, is characterized in that the scanning period of the mobile terminal is dynamically adjusted on the basis of information provided by the server.07-22-2010
20090271347Methods and systems for monitoring bioactive agent use - Methods, computer program products, and systems are described that include accepting at least one indication of a bioactive agent use by an individual and/or assigning an artificial sensory experience to monitor at least one side effect of the bioactive agent on the individual.10-29-2009
20100153325E-Mail Handling System and Method - A message processing system and method that recommends actions for incoming messages based upon past historical email behavior information. The historical email behavior information represents a user's behavior for a plurality of past messages and an action is recommended based on a comparison of the incoming messages to the historical email behavior information.06-17-2010
20120271785ADJUSTING A CONSUMER EXPERIENCE BASED ON A 3D CAPTURED IMAGE STREAM OF A CONSUMER RESPONSE - A survey controller receives response records from response processing systems, wherein the response records comprise a selection of response records each identifying a separate response of at least one consumer to a particular stimulus within a consumer environment detected from a three-dimensional movement of the at least one consumer captured within the consumer environment. The survey controller stores response records in a response database. The survey controller calculates, from the selection of response records stored in the response database, statistics associated with the particular stimulus within the consumer environment. The survey controller stores, by the survey controller, the calculated statistics.10-25-2012
20090076994Intelligent reputation attribution platform - Systems and methods allowing for the attribution of reputation to data sources (e.g., for the creation of referrals) are provided. In an illustrative implementation scores (e.g., reputation scores) are determined for a target entity connected a source entity on a network on a given dimension. In the illustrative implementation, an entity may be directly linked to any number of other entities on any number of dimensions, with each link having an associated score. Illustratively, each dimension has an associated transitive dimension. A directed path on a given dimension between two entities, a source and a target, consists of a directed link from the source entity to an intermediate entity, prefixed to a directed path from the intermediate entity to the target entity. In the illustrative implementation, links on the path can travel on the transitive dimension associated with the given dimension.03-19-2009
20100235311QUESTION AND ANSWER SEARCH - Exemplary methods, computer-readable media, and systems are presented for leveraging question-answering knowledge from community sites by complementing product search services with a search of questions, answers, reviews and other Internet accessible content including user-generated content. Product or service information is obtained by crawling Internet-accessible Web sites including community sites. An integrated index of such information is generated. A user is able to browse questions by product or service feature, by topic, by identified comparative questions, and by question ranking (for example, interestingness or popularity).09-16-2010
20090076996Multi-Classifier Selection and Monitoring for MMR-based Image Recognition - A MMR system that uses multiple classifiers for predicting, monitoring, and adjusting index tables for image recognition comprises a plurality of mobile devices, a pre-processing server or MMR gateway, and an MMR matching unit, and may include an MMR publisher. The MMR matching unit includes a plurality of recognition unit and index table pairs corresponding to classifiers to be applied to received image queries, as well as an image registration unit for storing and monitoring performance data for the classifiers. The MMR matching unit receives the image query and identifies, using a classifier set, a result including a document, the page, and the location on the page corresponding to the image query. The present invention also includes methods for monitoring online performance of a multiple classifier image recognition system, for classifier selection and comparison, and for offline classifier prediction.03-19-2009
20100241602METHOD AND SYSTEM FOR FACILITATING DYNAMIC LEARNING - The present invention provides methods and systems for facilitating dynamic learning for a user. The methods and systems include assimilating information related to the attributes associated with the user from multiple sources, linking the assimilated information with multiple learning conduits, selecting a subset of the multiple learning conduits based on a predefined criterion, customizing the selected subset of the multiple learning conduits based on the assimilated information, and providing the subset of the multiple learning conduits for facilitating dynamic learning for the user. The assimilated information is embedded into the multiple pre-existing learning conduits.09-23-2010
20100299301System and Method for Automatically Predicting the Outcome of Expert Forecasts - Systems and methods are provided that predict the accuracy of expert forecasts based on a corpus of prior expert forecasts. Expert forecasts (also referred to as opinions) are analyzed and processed to determine an opinion and related positions expressed by the expert. Each opinion is combined with relevant industry information to create a structured model for the opinion. A plurality of structured models for a given expert are then analyzed along with information related to the actual outcome of prior predictions to create a decision model for the particular expert. A new opinion issued by an expert is then analyzed using the decision model for that expert to predict the accuracy of the new opinion from the expert. Recommended actions in accordance with or against the new expert opinion may then be provided.11-25-2010
20100250479INTELLECTUAL PROPERTY DISCOVERY AND MAPPING SYSTEMS AND METHODS - An apparatus can include an information gathering module, a semantic abstract generation module, and an intellectual property space identification module. The information gathering module can retrieve information pertaining to intellectual property activities within a particular technical field. The semantic abstract generation module can generate semantic abstracts based on the information retrieved by the information gathering module. The intellectual property space identification module can perform an evaluation of the particular technical field based on the generated semantic abstracts.09-30-2010
20100250478Demo Verification Provisioning - A method, system, and computer program product for issuing an alert when a method of a live demonstration deviates from demonstration simulation actions. A computer receives a command to commence a demonstration simulation. During the demonstration simulation, capture logic of a computer is initialized. The capture logic records events of the demonstration simulation. When a live demonstration subsequently initiated, demonstration verification logic of the computer continually monitors, in real-time, events of the live demonstration and compares the events to the previously recorded events captured during the demonstration simulation. In response to detecting that a live demonstration has deviated from the recorded demonstration simulation method, the demonstration verification logic issues a non-invasive alert. The non-invasive alert may be issued using visual, audible, or vibration feedback cues in such manner that an audience observing the live demonstration is un-aware of the non-invasive alert.09-30-2010
20130218824Action Prediction and Identification of User Behavior - User behavior modeling can include determining actions performed by various users. From the mined user actions, future actions can be predicted. Certain implementations include providing information and/or services based on the predicted future actions. Some implementations, include providing relevant information, services, and/or goods regarding the predicted future action.08-22-2013
20100114808system and method for controlling an autonomous worksite - A control system is disclosed for providing a control decision to an autonomous worksite. The control system may include a communication interface configured to collect information related to an index of the autonomous worksite. The control system may also include a storage device configured to store the collected information and a plurality of constraint models. Each constraint model may characterize the mathematical relationship between the index and at least one control variable. The control system may further include a processor coupled to the communication interface and the storage device. The processor may be configured to build an optimization model for optimizing the index, based on the plurality of constraint models and the collected information. The processor may be further configured to determine the at least one control variable associated with the autonomous worksite by solving the optimization model. The processor may also be configured to make a control decision based on the determined control variable, and provide the control decision to the autonomous worksite.05-06-2010
20100036786REAL-TIME AD-HOC SPAM FILTERING OF EMAIL - Embodiments are directed towards employing a multi-pass ad-hoc spam message filtering approach that dynamically generates a temporary classifier during a first pass based on a result of a previously applied message filter that sorts messages into various folders for a user. The first pass scans messages in a user's mail folders, and reads various information within the messages, including, but not limited to sender information, headers, including a subject, an originating network address, message contents, attachments, and the like. After creating a classification model, the classifier with its model is used in a second pass on the message folders to retrospectively inspect the messages and present to the user a list of messages that might be misclassified. The classification model is maintained within memory on a user's client device, as memory resident only, and is not stored on disk or within another persistent data store.02-11-2010
20100191689VIDEO CONTENT ANALYSIS FOR AUTOMATIC DEMOGRAPHICS RECOGNITION OF USERS AND VIDEOS - A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.07-29-2010
20100191688DYNAMIC CONSTRAINT SOLVER WITH RESOURCE SUM CONSTRAINTS - A solver for solving a dynamic constant satisfaction problem that includes a resource sum constraint and a port for coupling zero or more sub-problems to the problem. The solver couples a new sub-problem to the port. The solver then, based at least on the coupling, determines a revised resource sum domain for the problem, the revised resource sum domain including a contribution from existing participants and a contribution from potential participants.07-29-2010
20100191687DYNAMIC CONSTRAINT SOLVER WITH CROSS PROBLEM CONSTRAINTS - A dynamic constraint solver solves a constraint satisfaction problem that includes a problem having zero or more ports, and zero or more sub-problems coupled to the zero or more ports. The solver stores a cross problem constraint template for cross problem constraints. The solver receives a request to connect a first sub-problem to a first port of a first problem. The solver then determines if the first sub-problem forms a participating problem combination for the cross problem constraint template. The participating problem combination includes all participating problems of the cross problem constraint. The solver then generates the cross problem constraint for the participating problem combination if the first sub-problem forms the participating problem combination.07-29-2010
20100191686Answer Ranking In Community Question-Answering Sites - In some implementations, a plurality of first questions and corresponding first answers are identified at a community question-answer (CQA) site as a plurality of first question-answer (q-a) pairs. A query thread comprised of a second question and a plurality of candidate second answers is selected for making a determination of answer quality. A set of the first questions that are similar to the second question are identified from the plurality of first questions. First linking features between the identified set of first questions and their corresponding first answers are used for determining an analogy with second linking features between the second question and candidate answers for ranking the candidate answers.07-29-2010
20110131167LP relaxation modification and cut selection in a MIP solver - Mixed integer programs (MIP) are solved by constructing and solving associated linear programming (LP) relaxation problems. The LP relaxations are iteratively constructed through the introduction of cutting planes that are derived using one solution of an LP, then filtered based on an alternative solution to the LP. The LP relaxation is constructed, and its alternate solution is derived, to efficiently converge to a solution for the MIP.06-02-2011
20080313118METHOD AND APPARATUS FOR COMPONENT ASSOCIATION INFERENCE, FAILURE DIAGNOSIS AND MISCONFIGURATION DETECTION BASED ON HISTORICAL FAILURE DATA - A method (which can be computer implemented) fox inferring component associations among a plurality of components in a distributed computing system includes the steps of obtaining status information fox each pertinent component of the plurality of components, forming an N by D matrix, X, based on the status information, and factorizing the matrix X to obtain a first matrix indicative of the component associations to be inferred and a second matrix indicative of failure explanations for corresponding ones of the probe instances. N is a number of probe instances associated with a given time flame. D is a number of the plurality of components fox which the associations are to be inferred. Techniques are also presented for forming a database with the status information.12-18-2008
20090112783METHOD AND SYSTEM OF ASSOCIATING A RUNTIME EVENT WITH A COMPONENT - A method and a system of associating a runtime event with a component. The method includes catching the runtime event; catching the context of the current running environment and determining the current component based on said context; and getting the associating policy of current component and determining the responsible component associated with said runtime event based on said associating policy.04-30-2009
20090112784TILE ARCHITECTURAL STYLE FOR PRIVACY-PRESERVED DISTRIBUTED COMPUTING - A method and system for privacy-preserved distributed computing on large networks using a tile-based architecture is disclosed. An expression for a tile seed assembly characterizing a problem, such as an NP-complete problem, may be determined. The solution to the tile seed assembly is a full tile assembly including a plurality of tile types. In a network of participating nodes, a tile type may be assigned to each node. A description of a tile type specific to a node may be provided to each node. A tile seed assembly may be established on selected nodes. Through progressive recruitment and replication, the tile assembly may mature, in response to the problem being solvable, into a full tile assembly having a solution. The solution may be received by the client computer.04-30-2009
20110238607GRAPH EMBEDDING TECHNIQUES - Approaches to embedding source graphs into targets graphs in a computing system are disclosed. Such may be advantageously facilitate computation with computing systems that employ one or more analog processors, for example one or more quantum processors.09-29-2011
20100299300RUNTIME INTERPRETATION OF DECLARATIVE PROGRAMS - Embodiments are directed to interpreting declarative program types at runtime without compiling and mapping between a declarative type and a dynamic runtime type. A computer system accesses a portion of a declarative program, where the declarative program includes fully modeled activity types. The computer system dynamically constructs a dynamic activity type based on one of the fully modeled activity types of the declarative program, where the dynamic activity type is configured for interpretive execution without compilation. The computer system also interpretively executes the dynamically constructed dynamic activity type such that the dynamic activity is executed without compilation.11-25-2010
20080228686Knowledge-Based Input Region of Interest Definition for Pharmacokinetic Modeling - The present invention provides a system, apparatus, and method that are based on a priori knowledge of the shape of the input function for defining an input region-if-interest (ROI) in pharmacokinetic modeling. Kinetic parameter estimation requires knowledge of tracer input activity and the present invention provides an automatic way to define an ROI for estimation of an input function that takes into account a priori knowledge of the shape of the input function based on an administered dose. As a result of the application of the present invention to existing imaging analysis systems, there is a reduction in the amount of manual interaction needed and operator dependence is thereby reduced in the evaluation of dynamic procedures.09-18-2008
20100312738CONTEXT-BASED FAILURE REPORTING FOR A CONSTRAINT SATISFACTION PROBLEM - A method for solving a constraint satisfaction problem (CSP) comprises identifying a first illegal combination associated with at least one variable, wherein the first illegal combination contradicts at least one constraint; grouping the first illegal combination with a second illegal combination, in response to determining that the first and second illegal combinations contradict the same constraint; identifying at least one failure explanation for each group of illegal combinations, wherein the failure explanation is associated with at least one illegal combination in said group to provide a reason for a contradicted constraint associated with the illegal combination; assigning a value to each variable in the given domain to solve the CSP within the limitations defined by the constraints in a solution path; and generating a result, in response to determining that at least one assigned value to a variable contradicts a constraint.12-09-2010
20100318484MANAGING ONLINE CONTENT BASED ON ITS PREDICTED POPULARITY - A historical popularity value is determined for a user-selectable online content from historical data describing user accesses to the user-selectable online content over a selected period. A predicted popularity value describing future popularity of the user-selectable online content at a future time after the selected period is ascertained from the historically popularity value. A web site from which user-selectable online content is accessible is managed based on the predicted popularity value.12-16-2010
20100306151 IN HIERARCHY DETERMINATION FOR POWER MONITORING SYSTEMS - A method of automatically learning how multiple devices are directly or indirectly linked in a monitoring system, comprises determining configuration parameters for the multiple devices in said system, receiving data measured by the devices, and grouping the devices into multiple segments according to at least one type of information selected from the group consisting of configuration parameters and data measured by said devices. Potential relationships of the devices in each segment are determined according to at least one type of information selected from the group consisting of configuration parameters and data measured by the devices, the hierarchies of the devices within individual segments are determined, and the hierarchies of the top-most device or devices in the segments are determined.12-02-2010
20100306149Planning method and system for use in cognitive programs - A system for achieving a desired goal in a domain. The system may comprise a device operable to receive information and simulate the domain therefrom; a device operable to simulate one or more effects due to one or more operators; a device operable to specify a number of items and/or classes of items and whether each item and/or each class of items is an affectable obstacle or a non-affectable obstacle; a device operable to automatically generate a candidate plan to achieve the desired goal by utilizing the simulated domain and the simulated effect(s), wherein the candidate plan could involve one or more affectable obstacles but does not involve any non-affectable obstacles; and a device operable to automatically refine the candidate plan to change at least one of the affectable obstacles involved in the candidate plan.12-02-2010
20100306148PREDICTING WHETHER STRINGS IDENTIFY A SAME SUBJECT - The present invention is directed to predicting whether two character strings refer to a same subject. An exemplary embodiment includes using a set of character-string pairs, which have been identified as either matches or nonmatches, to learn a function. The function can then be applied to the two character strings to quantify a likelihood that they refer to the same subject matter. For example, a kernel-based classifier analyzes the set of character-string pairs using a kernel function. Based on the analysis the classifier can generate parameters. The parameters are usable to define a prediction algorithm that when applied to the two character strings generates a prediction value, which suggests whether the two characters are matches, i.e., refer to the same subject matter.12-02-2010
20100306147Boosting to Determine Indicative Features from a Training Set - Determining indicative features may be provided. First, a first set of features may be determined using a document frequency process. Then a second set of features may be determined using a boosting process. Using the boosting process may comprise using an approximation for a one-dimensional optimization. The approximation may include an upper bound. Next, the first set of features and the second set of features may be combined into a combined set of features. The combined set of features may comprise a union of the first set of features and the second set of features. At least one document may then be classified based on the combined set of features.12-02-2010
20100325075MARKOV DECISION PROCESS-BASED SUPPORT TOOL FOR RESERVOIR DEVELOPMENT PLANNING - A Markov decision process-based support tool for reservoir development planning can comprise a source of input data, an optimization model, a high fidelity model for simulating the reservoir, and one or more solution routines interfacing with the optimization model. The optimization model can consider unknown parameters having uncertainties directly within the optimization model. The model incorporates the flexibility that a decision-maker has in the real world and allows the decision-maker to adjust the decisions based on new information. The model can systematically address uncertain data, for example comprehensively or even taking all uncertain data into account. Accordingly, the optimization model can provide flexible or robust solutions that remain feasible over an uncertainty space. Once the reservoir model is optimized, final development plans may be generated.12-23-2010
20130138591ETIQUETTE SUGGESTION - Methods and systems for a complete vehicle ecosystem are provided. Specifically, systems that when taken alone, or together, provide an individual or group of individuals with an intuitive and comfortable vehicular environment. The present disclosure builds on integrating existing technology with new devices, methods, and systems to provide a complete vehicle ecosystem.05-30-2013
20130138592DATA PROCESSING - A method and apparatus for data processing. The method calculates correlations between a plurality of attributes in a dataset. The attributes are factors involved in transaction processing. The method generates a relationship graph by using the plurality of attributes and the correlations between the plurality of attributes; and extracts a sub-graph from the relationship graph to represent a hypothesis. The hypothesis describes the impacts of the factors on the transaction processing. Also provided is an apparatus for implementing the above data processing method.05-30-2013
20130138593Method and Apparatus for Operating a Finite State Machine - A finite state machine is provided. The finite state machine causes a function to be carried out in dependence on at least an event input to the finite state machine and the current state of the finite state machine. Associations between the functions that are to be carried out and combinations of the states and the events are identified using an associative array. The associations identified using the associative array are amended while the finite state machine is operating to dynamically reconfigure the operation of the finite state machine.05-30-2013
20130138595SYSTEM AND METHOD FOR ASSIGNING PIECES OF CONTENT TO TIME-SLOTS SAMPLES FOR MEASURING EFFECTS OF THE ASSIGNED CONTENT - Systems and methods provide for assigning pieces of content to time-slots samples for measuring effects of the assigned content. Systems and methods provide for receiving pair-wise content relatedness data that identifies each piece of content as experimental content or control content relative to other pieces of content, and algorithmically assigning experimental or control content pieces to time-slot samples using the content relatedness data, wherein additional content pieces assigned to a particular time-slot sample exclude non-identical related experimental content pieces defined relative to an experimental content piece previously assigned to the particular time-slot sample.05-30-2013
20100332435CONSTRAINT BASED SYSTEM THAT IDENTIFIES TOP CONSTRAINT EXPRESSIONS - A constraint solver solves a constraint satisfaction problem (“CSP”) that includes a network of variables and constraints. The solver receives a sub-expression and determines if the sub-expression is an internal constraint of the CSP. The internal constraint has a supporting operator expression. If the sub-expression is an internal constraint, the solver determines any or all top constraint expressions associated with the supporting operator expression.12-30-2010
20110016073METHOD FOR PREDICTING A FUTURE PROPERTY - A method for measuring specific substances and extracting objective information from the measurements that is especially applicable in immunoassays but can also be used in other assays which rely on affinity between binding partners. The invention overcomes problems and difficulties caused by disturbing or interfering phenomena by exploiting a mathematical algorithm which predicts the target value from a series of measurements performed during the reaction. The mathematical method of linear prediction is used for this purpose.01-20-2011
20110010323INFERRING VIEW SEQUENCE AND RELEVANCE DATA - A system described herein includes a receiver component that receives action sequence data pertaining to a plurality of selectable graphical items displayed to a user on a computer display screen, wherein the action sequence data is indicative of an order in which the user performed an action with respect to a first subset of graphical items in the plurality of selectable graphical items. The system also includes a determiner component that infers a view sequence with respect to a second subset of graphical items in the plurality of graphical items, wherein the view sequence is an order that the user viewed graphical items in the second subset of graphical items, and wherein the second subset of graphical items comprises the first subset of graphical items and at least one other graphical item in the plurality of graphical items.01-13-2011
20110010324SYSTEMS AND METHODS FOR MAKING CONTEXTUAL RECOMMENDATIONS - A method and a system for making contextual recommendations to users on a network-based system. For example, a first and second related category are selected and a relationship score is calculated representing an aspect of the relationship between the first and second related categories. A relationship type is selected to represent the relationship between the first and second categories using the relationship score. The relationship type is one of either a complement or a substitute. A complement relationship indicates a complementary relationship between the first and second related categories. While a substitute relationship indicates a substitutionary relationship between the first and second categories. The relationship type is stored associated with the first and second related categories. Using the selected relationship type, a recommendation is provided to a user on the network-based system.01-13-2011
20110016072OPERATION SUPPORT APPARATUS AND OPERATION SUPPORT METHOD - An operation support apparatus includes: an operation record storage unit (01-20-2011
20090024550Systems and Methods for Wireless Network Selection - Systems and methods for selecting a wireless network are disclosed. In some embodiments, a method comprises receiving a first network device identifier for a first network device and a second network device identifier for a second network device, obtaining a first network profile comprising a first attribute, the first network profile based on the first network device identifier, obtaining a second network profile comprising a second attribute, the second network profile based on the second network device identifier, and selecting either the first network device identifier or the second network device identifier based on an attribute analysis of the first attribute and the second attribute.01-22-2009
20110119217APPARATUS AND METHOD FOR RECOMMENDING SERVICE - Provided are a service recommending apparatus and method. The service recommending method uses situation information, such as location information of a terminal possessed by a user and a user profile, to deduce the user's activity, predicts a service that is expected to be preferred by the user according to the user's situation, and provides the result of the prediction to the user. The location information of the terminal is acquired from a network server such as a location information server through an open API gateway.05-19-2011
20110119218SYSTEM AND METHOD FOR DETERMINING AN ENTITY'S IDENTITY AND ASSESSING RISKS RELATED THERETO - The invention describes systems and methods of determining an entity's identity and assessing risk related to the entity's identity using a computer. A computer-based system including a tracking module, an information module, a risk assessment module, and a memory is provided. The tracking module records encounters of the entity with the computer-based system. The information module gathers and detects changes in biographic information and biometric information relating to the entity's identity. The risk assessment module evaluates risks associated with the entity. The memory stores the information.05-19-2011
20110125694Device and Method for the Partially or Completely Automatic Commissioning of Packs - A method for the partially or completely automatic commissioning of packs of one or several articles, in particular beverage articles, including receiving a commissioning order for preparing a target unit which comprises a target carrier and target packs of one or several articles, holding ready a source unit which comprises a source carrier and source packs of a predetermined article, automatically determining whether the source unit is suited for negative commissioning based on the commissioning order, and if the source unit is suited for negative commissioning, use of the source unit as target unit.05-26-2011
20090099992BOUNDED-DEFERRAL POLICIES FOR GUIDING THE TIMING OF ALERTING, INTERACTION AND COMMUNICATIONS USING LOCAL SENSORY INFORMATION - The present invention relates to a system and method to facilitate communications of important messages, communications, or interactions. Policies are introduced that consider a user's current situation, including the cost of interrupting the user, or directly sensed surrogates for such a cost, and decide on a suitable time, within a deadline for delivering the information or establishing a communication. Deadlines for delivery are determined based on the urgency of the information that is inferred or detected from the message sender, type, and content. If a suitable context is not detected within a deadline, the information is delivered at the deadline. If it is determined that a suitable context will not achieved within a deadline, the information is transmitted immediately. Suitable contexts for delivery can be determined via the use of one or more sensors on or near endpoint devices, including accelerometers, microphones, touch sensing, and gaze and head pose detection. Other information, including appointment status as indicated on a user's calendar, the time of day, and previously assessed patterns of availability can be employed in decisions about the deferral of alerts. Endpoint sensors, calendar information, and patterns of availability also may used to identify the likelihood that information will be received at a device. Such information can be passed back directly or in a summary form as the likelihood of transmission success to a central notification manager or used locally in decisions about the salience and repetition of alerting.04-16-2009
20090099991METHOD AND SYSTEM FOR PREDICTING PROCESS PERFORMANCE USING MATERIAL PROCESSING TOOL AND SENSOR DATA - A method for constructing a process performance prediction model for a material processing system, the method including the steps of: recording tool data for a plurality of observations during a process in a process tool, the tool data comprises a plurality of tool data parameters; recording process performance data for the plurality of observations during the process in the process tool, the process performance data comprises one or more process performance parameters; performing a partial least squares analysis using the tool data and the process performance data; and computing correlation data from the partial least squares analysis.04-16-2009
20110213744SYSTEMS AND METHODS FOR ASSET CONDITION MONITORING IN ELECTRIC POWER SUBSTATION EQUIPMENT - Certain embodiments of the invention may include systems and methods for asset condition monitoring in electrical power substation equipment. According to an example embodiment of the invention, a method is provided for detecting behavior in electrical substation equipment. The method may include receiving realtime data associated with a plurality of parameters associated with the substation equipment, storing at least a portion of the realtime data over a period of time, wherein the stored data comprises historical data, comparing the realtime and historical data, and generating a report based at least in part on a comparison of the realtime data and historical data.09-01-2011
20110145183PREDICTOR OF THE PERIOD OF PSYCHOTIC EPISODE IN INDIVIDUAL SCHIZOPHRENICS AND ITS METHOD - A predictor of the period of psychotic episode in individual schizophrenia patients, and its method. It consists of, a data constructor and an incident simulator, which concludes rules from the total incidents of patients' recurrence as well as the historical time data. Then it applies the said rules to predict the following happening time of a recurrence or a stabled situation.06-16-2011
20110145182ADAPTIVE CONTENT INSPECTION - Methods and apparatus are provided involving adaptive content inspection. In one embodiment, a content inspection processor may identify information with respect to input data and provide the information to a host controller. The host controller may adapt search criteria or other parameters and provide the adapted parameter to the content inspection processor. Other embodiments may include a content inspection processor having integrated feedback, such that results data is fed back to the content inspection processor. The results data may be processed before being provided to the content inspection processor.06-16-2011
20090099990OBJECT DETECTION AND RECOGNITION WITH BAYESIAN BOOSTING - An efficient, effective and at times superior object detection and/or recognition (ODR) function may be built from a set of Bayesian stumps. Bayesian stumps may be constructed for each feature and object class, and the ODR function may be constructed from the subset of Bayesian stumps that minimize Bayesian error for a particular object class. That is, Bayesian error may be utilized as a feature selection measure for the ODR function. Furthermore, Bayesian stumps may be efficiently implemented as lookup tables with entries corresponding to unequal intervals of feature histograms. Interval widths and entry values may be determined so as to minimize Bayesian error, yielding Bayesian stumps that are optimal in this respect.04-16-2009
20110087629TECHNIQUES FOR PROCESSING ONTOLOGIES - Techniques for processing ontologies include a computer-implemented method of processing an ontology. The method includes storing data in an ontology and partitioning the ontology into a plurality of partitions. The partitions are distributed among a plurality of reasoner instances. The reasoner instances are directed to reason the partitions and the results from the reasoner instances are combined. If data is changed, an inference library resulting from the combined results may be updated by updating only those portions of the inference library affected by the changed data.04-14-2011
20100036787Dynamic Constraint Satisfaction Problem Solver That Recreates Structure Across Sessions - A dynamic constraint solver for solving a constraint satisfaction problem model receives a request for a current solving session to recreate a first solving session for the model. The solver then collects a deferred port list comprising one or more ports in the model that need a sub-problem and creates one or more runtime constraints for the model. For each of the created runtime constraints, the solver propagates the constraint and determines if the propagation generates a conflict. If the propagation generates a conflict, the solver dismisses the constraint and reverts the model to a state before the constraint was propagated.02-11-2010
20090048996Computerized Modeling Method and a Computer Program Product Employing a Hybrid Bayesian Decision Tree for Classification - In a computerized hybrid modeling method and a computer program product for implementing the method, two classification techniques are integrated: expert elicited Bayesian networks and decision trees induced from data. Bayesian networks are a compact representation for probabilistic models and inference. They have been used successfully for many applications involving classification. The tree-based classifiers, on the other hand, have proven their ability to perform well in real world data under uncertainty. For classification purposes, the inference algorithms to compute the exact posterior probability of a target node, given observed evidence in a Bayesian network, are usually computationally intensive or impossible in a mixed model. In those cases, either the approximate results are computed using stochastic simulation methods or the model is approximated using discretization or Gaussian mixture before applying an exact inference algorithm. For a tree-based classifier, however, once the tree is constructed, the classification process is trivial. The hybrid approach synergistically combines the strengths of the two techniques. Such an approach trades off the accuracy and computation. Significant computational savings can be achieved with a minimum classification accuracy drop.02-19-2009
20100131446Action execution based on user modified hypothesis - A computationally implemented method includes, but is not limited to: presenting to a user a hypothesis identifying at least a relationship between a first event type and a second event type; receiving from the user one or more modifications to modify the hypothesis; and executing one or more actions based, at least in part, on a modified hypothesis resulting, at least in part, from the reception of the one or more modifications. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.05-27-2010
20100131444COMBINING MULTIPLE OBJECTIVE FUNCTIONS IN ALGORITHMIC PROBLEM SOLVING - Combining multiple objective functions to perform algorithmic problem solving is described. A first algorithm performs processing on a complex problem and generates multiple solutions to the problem. One or more solutions as generated by the first algorithm are send to one or more additional algorithms for further processing of complex sub-problems bounded by the first algorithm. The solutions to the first algorithm are used as input to the additional algorithms, where those solutions include at least one boundary condition under which the additional algorithms process the sub-problems. Ultimate solutions satisfy boundary conditions of the first algorithm, and all conditions of the additional algorithms. Algorithms may be executed in combinations of parallel and/or sequential operation to generate a final solution considering multiple different sub-problems to the complex problem.05-27-2010
20100131443Providing Digital Content Based On Expected User Behavior - In a computing system, information regarding a plurality of events that use a computing device is obtained, and a time-dependant increase in activity for each of at least some of the events is identified. An observed interest by a user in an event is correlated with an identified increase in activity for the event. Information about the activity at a time related to the event is provided for review by the user.05-27-2010
20120246104SENTIMENT CALCULUS FOR A METHOD AND SYSTEM USING SOCIAL MEDIA FOR EVENT-DRIVEN TRADING - A sentiment calculator uses social media messages for the real-time evaluation of publicly assets, in particular traded equities and commodities wherein a sentiment is an integer computed based upon pairs of lexical items in local syntactic context. The sentiment calculator includes a mechanism for determining polarity in social media messages and a mechanism for determining a strength value of lexical items used in social media messages.09-27-2012
20100131442INTELLIGENT MONITORING SYSTEM - An intelligent monitoring system aims to perform object surveillance and tracking, and can quickly build accurate and reliable background data in a complex image condition to achieve desired monitoring result. Based on a dynamic background and a temporary static object and user's requirements, monitoring objects in a background module can be added or deleted to match the actual background information. The whole background data can be tracked according to characteristics of a targeted object set by users, and post-processing can be done for the tracked object, such as zooming, identifying, capturing, surveillance of behaviors, and the like. Thus whether a special attention is needed for a dynamic or static object can be notified. And an alert can be issued to relevant people for timely handling.05-27-2010
20100057656DEVICE, SYSTEM, AND METHOD OF DETERMINING A SOLUTION SCHEME OF A POLY-ALGORITHM SOLVER - Device, system, and method of determining a solution scheme of a poly-algorithm solver. Some embodiments include a method of determining a solution scheme to be applied to input data by a poly-algorithm solver including a plurality of algorithms, the method including receiving a calling sequence including input values of a predefined set of parameters corresponding to the input data; based on the input values, choosing one of first and second algorithm selection models for selecting one or more of the algorithms to be applied to the input data by the solver. Other embodiments are described and claimed.03-04-2010
20090216699APPARATUS AND METHOD FOR HIERARCHICAL DECOMPOSITION OF PLANNING, SCHEDULING, AND OTHER DECISION-MAKING PROBLEMS - A system includes a coordinator configured to generate a first offer representing a possible solution to a problem being solved. The coordinator is configured to generate the first offer using a first model. The system also includes multiple cooperators each configured to receive the first offer and to determine if a sub-problem associated with the problem can be solved based on the first offer and using a second model. Each cooperator is also configured to identify an infeasibility and communicate the infeasibility to the coordinator when the sub-problem cannot be solved based on the first offer. The coordinator is further configured to receive the infeasibility, generate a second offer by reducing a deviation between the first offer and a consensus of the cooperators, and provide the second offer to the cooperators. The consensus of the cooperators is based on a level of the first offer that each cooperator can achieve.08-27-2009
20090216700TEMPORAL EVENTS ANALYSIS EMPLOYING TREE INDUCTION - An events analysis method comprises: optimizing respective to a set of training data a set of branching transition likelihood parameters associating parent events of type k with child events of type k′ in branching processes; inferring a most probable branching process for a set of input data comprising events based on the optimized set of branching transition likelihood parameters; and identifying rare or unusual events of the set of input data based on the inferred most probable branching process. An events analysis apparatus includes a probabilistic branching process learning engine configured to optimize the set of branching transition likelihood parameters, and a probabilistic branching process inference engine configured to infer the most probable branching process.08-27-2009
20090216698TEMPORAL EVENTS ANALYSIS EMPLOYING TREE INDUCTION - An events analysis method comprises: optimizing respective to a set of training data a set of branching transition likelihood parameters associating parent events of type k with child events of type k′ in branching processes; inferring a most probable branching process for a set of input data comprising events based on the optimized set of branching transition likelihood parameters; and identifying rare or unusual events of the set of input data based on the inferred most probable branching process. An events analysis apparatus includes a probabilistic branching process learning engine configured to optimize the set of branching transition likelihood parameters, and a probabilistic branching process inference engine configured to infer the most probable branching process.08-27-2009
20100057659Determining a Target Career Path and Tasks to Achieve Same - A career navigation system provides an automated way to counsel and/or coach a user on professional networking as it affects career development and/or career advancement. The career navigation system helps people both identify a path to their desired career destination and follow that path by means of various career management and network management tools and action items. A user is associated with a role model, such as a real-life person who has achieved the user's goal job. The role model's career path is customized to generate a roadmap for the user to follow in order to achieve his goal. Action items are generated and scheduled based on the roadmap, and the user is prompted to complete the items and track his progress.03-04-2010
20090150316Methods and Systems for Evaluating Behavior in Relation to Ethical Values - Methods and system for evaluating the behavior of users in relation to one or more ethical values are provided. The methods can comprise obtaining inputs from stakeholders or proxies rating the performance of the user in relation to the one or more ethical values. The inputs can be processed so that inputs of greater importance to the user are given a higher weight than inputs of lesser importance. An overall rating of the performance of the user in relation to the ethical values can then be determined based on the weighted inputs. The methods can be performed using systems comprising a computing device that accepts the ratings, and is programmed with an algorithm that weights the ratings and calculates the overall rating based on the weighted ratings.06-11-2009
20110099138GAP REDUCTION TECHNIQUES FOR STOCHASTIC ALGORITHMS - In one exemplary embodiment of the invention, a method includes: receiving, by an input, input data descriptive of a stochastic scheduling optimization problem; generating, by a processor, at least one solution to the stochastic scheduling optimization problem using a one-step anticipatory algorithm, where the one-step anticipatory algorithm is configured to reduce an anticipatory gap of the stochastic scheduling optimization problem, where the anticipatory gap is a measure of stochasticity of the stochastic scheduling optimization problem, where the one-step anticipatory algorithm operates by determining a set of possible decisions for the stochastic scheduling optimization problem, generating a plurality of scenarios and solving the plurality of scenarios to obtain the at least one solution; and outputting, by an output, the generated at least one solution.04-28-2011
20110078102SYSTEM AND METHOD FOR DETECTING SYSTEM RELATIONSHIPS BY CORRELATING SYSTEM WORKLOAD ACTIVITY LEVELS - Relationships between systems can be inferred through a correlation analysis of the system workload activity levels. A method, computer readable medium and system are provided for analyzing correlations between the system workloads. The method comprises obtaining a set of quantile-based workload data pertaining to a plurality of systems. The correlation coefficient limit may then be used to compute the workload correlation scores for the plurality of systems and a result indicative of relationships between the systems then provided.03-31-2011
20110078101RECOMMENDING ONE OR MORE EXISTING NOTES RELATED TO A CURRENT ANALYTIC ACTIVITY OF A USER - Methods and apparatus are provided for recommending one or more existing notes related to a current analytic activity of a user. One or more existing notes related to a current analytic activity of a user are recommended by maintaining a logical record of analytic activity of the user by recording one or more visual analytic actions performed by a user; generating a context model for a plurality of the existing notes, wherein the context model for a given existing note represents information interests of the user; determining a relevance score for each of the plurality of existing notes, wherein a given relevance score characterizes a relevance of a corresponding existing note to the current analytic activity; and recommending one or more existing notes based on the determined relevance scores. The context model for the given existing note represents the information interests of the user at a time surrounding the point when the user recorded the corresponding existing note.03-31-2011
20110106743METHOD AND SYSTEM TO PREDICT A DATA VALUE - Embodiments of the present invention include methods and systems for predicting the likelihood of topics appearing in a set of data such as text. A number of latent variable methods are used to convert the data into a set of topics, topic values and topic profiles. A number of time-course methods are used to model how topic values change given previous topic profiles, or to find historical times with similar topic values and then projecting the topic profile forward from that historical time to predict the likelihood of the topics appearing. Embodiments include utilizing focus topics, such as valence topics, and data representing financial measures to predict the likelihood of topics. Methods and systems for modeling data and predicting the likelihood of topics over other dimensions are also contemplated.05-05-2011
20110082825METHOD AND APPARATUS FOR PROVIDING A CO-CREATION PLATFORM - An approach is provided for providing a co-creation platform. A co-creation application extracts tags from a plurality of information sources reflecting the expertise of a user. The co-creation application creates a model of the user's expertise by applying a probabilistic analysis on the extracted tags. The co-creation application collects assignment information including at least one or more specified areas of expertise, and matches the model of the user's expertise against the specified areas of expertise.04-07-2011
20130159236DATA PROCESSING METHOD AND SYSTEM, AND RELEVANT APPARARTUS - Embodiments of the present invention disclose a data processing method including: sending global initial statistical information to each slave node; merging received local statistical information of each slave node, to obtain new global statistical information; if Gibbs sampling performed by a slave node has ended, calculating a probability distribution between a document and topic and a probability distribution between the topic and a word according to the new global statistical information; according to the probability distributions obtained through calculation, establishing a likelihood function of a text set, and maximizing the likelihood function, to obtain a new hLDA hyper-parameter; and if iteration of solving for an hLDA hyper-parameter has converged, and according to the new hLDA hyper-parameter, calculating and outputting the probability distribution between the document and topic and the probability distribution between the topic and word.06-20-2013
20110066581Class I and Class II MHC Profiling for Social and Sexual Matching of Human Partners - An improved process of matching people with one another, for social and/or sexual purposes, based on the profiles of the participants' Class I and Class II MHC genes. The quality of this human matching is inversely proportional to the number of common alleles of said genetic profiles of the individuals. Higher quality matches of this type result in greater sexual attraction, more attractive physical odor, and offspring with more robust immune systems among matched participants.03-17-2011
20120303569System, Process and Software Arrangement for Providing Multidimensional Recommendations/Suggestions - A process, system and computer software are provided to facilitate at least one recommendation to one or more users and/or one or more applications using multidimensional data. In particular, a multidimensional space is defined, wherein each dimension is capable of providing variable information. At least one dimension corresponds to user profiles. The multidimensional space is filled with multidimensional data corresponding to dimensions of the multidimensional space. Then, information from the multidimensional space is retrieved. Further, the recommendation is generated based on the retrieved information. In addition, it is possible to generate a recommendation-specific query. This can be performed by generating the recommendation-specific query to access a multidimensional cube and retrieve data stored therein. Then, the recommendation can be issued based on the data retrieved from the multidimensional cube.11-29-2012
20110251987TIME-SHIFTING A CONTENT STREAMING REQUEST - A streaming request from a playback device for media content can be identified. The media content can originate from a unique content source which can be remote from the playback device. The content source can be communicatively linked to the playback device via a public network. Before submitting the request to the unique content source, a non-persisting data store can be queried for the media content. The non-persisting data store can comprise of previously acquired digital media which can be encrypted in a protected manner which remains inaccessible to a user except, when provided responsive to the streaming request. When results of the querying produce a match, the media content from the non-persisting data store can be conveyed to the playback device. When results of the querying do not produce a match, the media content can be requested from the content source and presented to the playback device.10-13-2011
20110060711PROCESSING RELATIONAL DATABASE PROBLEMS USING ANALOG PROCESSORS - Systems, methods and articles solve queries or database problems through the use of graphs. An association graph may be formed based on a query graph and a database graph. The association graph may be solved for a clique, providing the results to a query or problem and/or an indication of a level of responsiveness of the results. Thus, unlimited relaxation of constraint may be achieved. Analog processors such as quantum processors may be used to solve for the clique.03-10-2011
20130166487DOMAIN LEVEL CLUSTERING - A computer implemented method for clustering documents that includes receiving at least a first first-level cluster of documents and a second first-level cluster of documents, wherein the first first-level cluster includes one or more first documents associated with a first domain, the first documents satisfying a first first-level classification criterion, and the second first-level cluster including one or more second documents associated with a second domain, the second documents satisfying a second first-level classification criterion. The method also includes creating, by a processor of the computer system, a second-level cluster by combining the first first-level cluster with the second first-level cluster when a) the first first-level cluster and second first-level cluster satisfy a second-level classification criterion; and b) the first domain does not match the second domain.06-27-2013
20100280983APPARATUS AND METHOD FOR PREDICTING USER'S INTENTION BASED ON MULTIMODAL INFORMATION - Disclosed are an apparatus and method of deducing a user's intention using multimodal information. The user's intention deduction apparatus includes a first predictor to predict a part of a user's intention using at least one piece of motion information, and a second predictor to predict the user's intention using the predicted part of the user's intention and multimodal information received from at least one multimodal sensor.11-04-2010
20120123988APPARATUS AND METHOD FOR GENERATING A CONTEXT-AWARE INFORMATION MODEL FOR CONTEXT INFERENCE - An apparatus and method for generating a context-aware information model are provided. A context-aware information model generation apparatus may generate a final model using at least one candidate context-aware information model that is determined based on sensor information. Additionally, the context-aware information model generation apparatus may infer a context of a user based on the generated final model.05-17-2012
20100306150CIRCUITS FOR SOFT LOGICAL FUNCTIONS - A circuit implementing a soft logical processing network includes an interconnection of analog processing elements, which can include soft logic gates, for instance soft Equals gates and soft XOR gates. In some examples, each of the soft logic gates include multiple circuit parts, with each part including an input configured to accept a voltage signal representation of a soft logical quantity, and a conversion section configured to use the accepted voltage representation to form a corresponding current signal. The current signals are combined to form a signal representation of the output of the gate. In an application of soft logic gates, a memory includes a group of electrical storage elements, each electrical storage elements carrying a respective storage values; a group of conversion elements, each conversion element being coupled to a respective electrical storage element for selectively converting the corresponding storage value to a current signal; and a current combination element for combining the current signals to form an output signal.12-02-2010
20120150784Immersive Planning of Events Including Vacations - The subject disclosure is directed towards a web service or the like that assists users in generating a plan, such as a vacation plan. In one aspect, a user chooses a model that generates a plan, including by selecting content objects (e.g., found by searching) corresponding to plan objects. Selection is based upon user input, along with rules, constraints and/or equations associated with the model. A presentation mechanism produces a presentation (e.g., an audiovisual experience) from the content/plan objects, such as a linear narrative, a timeline, a schedule, a calendar, a gallery, a list, and/or a map. The plan may be annotated with annotation data. The plan may be interacted with to re-plan it, and may be saved and/or provided to another user for viewing and/or re-planning. Plan versions may be compared to see the changes made.06-14-2012
20090012924MALFUNCTION CONDITION JUDGMENT APPARATUS, CONTROL METHOD, AUTOMOBILE AND PROGRAM - A malfunction condition judgment apparatus (MCJA) that judges malfunction condition (MC) of an observed object based on a change of observed values. The MCJA acquires time series data for values of each of a plurality of variables; calculates, with respect to each of the variables, a statistic defining a probability density function of that variable at T1, based on the value of that variable at T1 and that statistic at a point of time prior to T1; calculates dissimilarity showing an extent of variation between the statistic calculated for each variable and a statistic of a criterial probability density function predetermined corresponding to that variable; and picks, out of the plurality of variables, a variable for which the calculated dissimilarity is larger than a predetermined reference value, as the variable by which MC of the observation object is detected.01-08-2009
20090012923Method and apparatus for distributing assignments - A method of assigning sets of assignments to at least one agent is provided. The agent(s) are capable of assuming a plurality of states. The method comprising, for each agent: constructing a graph having a plurality of vertices and a plurality of edges. Each vertex of the graph represents an assignment performable by the agent while being at a respective state, and each edge connects two vertices hence represents a transition between two states. The method further comprises assigning a predetermined weight for each vertex of the plurality of vertices; and using a longest-path algorithm for obtaining a path over the graph, the path having a plurality of connected vertices and being characterized by a substantial optimal objective function defined using respective weights of the plurality of connected vertices. The agent is thereby assigned with a set of assignments represented by the plurality of connected vertices of the graph.01-08-2009
20110153535METHOD AND DEVICE FOR PERFORMING A MAINTENANCE FUNCTION - A method for performing a maintenance function of a system under diagnosis includes a step for hierarchical decomposition of the system under diagnosis into sub-systems based on the model of the system and, for each sub-system, steps for determination of a model of the sub-system starting from the model of the system, and allocation of a diagnostic method depending on the processing and memory resources of said sub-system. The method allocated is a first diagnostic method based on the model of the system or a second diagnostic method based on predefined logical relationships. The method further includes calculation of the logical relationships for the sub-systems implementing the second diagnostic method, and the transfer of the logical relationships to the sub-systems implementing the second method and the transfer of the model to the sub-systems implementing the first method.06-23-2011
20110251988ADAPTIVE IMPLICIT LEARNING FOR RECOMMENDER SYSTEM - The present invention relates to an apparatus, method, and computer program product for controlling a recommender system, wherein user actions on content items are associated to explicit ratings on these content items and translated into a UI features profile, which is subsequently used by a recommender. This recommender rates new items based on user actions on this item and thus creates an implicitly learned rating history. This learning makes the implicit rating or scoring personalized. It can be combined in several ways with an explicitly learned rating history to improve overall performance and/or to mitigate the burden for the user, by having him/her rate less items explicitly.10-13-2011
20120203726INFORMATION SYSTEMS AND METHODS FOR DEPLOYMENT OF CHARGING INFRASTRUCTURE IN SUPPORT OF ELECTRIC VEHICLES - Certain examples provide systems and methods to identify placement for an electric charging station infrastructure. Certain examples provide systems and methods to generate a deployment plan for one or more electric vehicle charging stations. An example method includes gathering data for a specified geographic area and forecasting a demand for electric vehicles for the specified area. The example method includes modeling driving patterns in the specified area using available data and improving a charging infrastructure model based on the driving pattern and demand forecast information for the specified area. The example method includes generating and providing a recommendation regarding an electric vehicle charging infrastructure and deployment strategy for the specified area based on the improved charging infrastructure model.08-09-2012
20120203725AGGREGATION OF BIO-SIGNALS FROM MULTIPLE INDIVIDUALS TO ACHIEVE A COLLECTIVE OUTCOME - Systems and methods for generating results of observations of signals acquired from by groups, including humans, animals, living matter in vitro and machines as members of a group. In some embodiments, the signals are EEG, EMG, EOG or other signals from a biologically active source. The signals are categorized by various criteria, and can be quantified. The categorized signals are combined to produce a result. The result can be displayed to a user, recorded, fed back to one or more signal sources, or used in further information processing.08-09-2012
20120203724DECISION SUPPORT SYSTEM OPTIMIZER FOR A REAL-TIME COMMAND CENTER - A decision support for real time command center, in one aspect, classifies, using a decision tree, an observed network state of a network into at least one category. A meta-model associated with the classified at least one category may be selected from a plurality of meta-models, the plurality of meta-models having been calibrated using results of simulations of a plurality of scenarios occurring in the network. One or more action plans may be evaluated by running the selected meta-model with data of the observed network state. One or more recommended action plans may be generated for the real time command center, based on the evaluation. Actual network state data resulting from having applied the one or more recommended action plans may be evaluated and used to recalibrate the meta-model and/or the decision tree.08-09-2012
20100070446SYSTEM AND METHOD FOR REPRESENTING INCONSISTENTLY FORMATTED DATA SETS - Two or more data sets, arranged in mutually inconsistent formats, are stored in a computer. Software is applied to each data set to discover and generate a topology for a respective Bayesian Belief Network for each of the data sets. The resulting individual constituent Bayesian Belief Networks are combined to produce a combined Bayesian Belief Network. The combined Bayesian Belief Network represents a virtual data set that does not exist but which stands in for a combination of the original data sets. The combined Bayesian Belief Network is a convenient representation that may be analyzed to investigate causality relationships among all of the variables in the constituent data sets.03-18-2010
20100005047Methods, Systems, and Software for Identifying Functional Bio-Molecules - The present invention generally relates to methods of rapidly and efficiently searching biologically-related data space. More specifically, the invention includes methods of identifying bio-molecules with desired properties, or which are most suitable for acquiring such properties, from complex bio-molecule libraries or sets of such libraries. The invention also provides methods of modeling sequence-activity relationships. As many of the methods are computer-implemented, the invention additionally provides digital systems and software for performing these methods.01-07-2010
20100005046METHOD AND APPARATUS FOR PREDICTING VALUE OF CACHING CONTENT ITEMS - The invention includes a method and apparatus for predicting value of caching content items. In one embodiment, a method for selecting ones of a plurality of content items to be cached includes, for each of the content items, determining a probability of use of the content item comprising a probability that the content item will be used if cached, determining a value of caching the content item, and computing a caching value estimate associated with the content item using the probability of use of the content item and the value of caching the content item. The content items to be cached may then be selected using the respective caching value estimates of the content items.01-07-2010
20080243745Human Level Artificial Intelligence Software Application for Machine & Computer Based Program Function - A method of creating human level artificial intelligence in machines and computer software is presented here, as well as methods to simulate human reasoning, thought and behavior. The present invention serves as a universal artificial intelligence program that will store, retrieve, analyze, assimilate, predict the future and modify information in a manner and fashion which is similar to human beings and which will provide users with a software application that will serve as the main intelligence of one or a multitude of computer based programs, software applications, machines or compilation of machinery.10-02-2008
20080243747PROPERTY DESCRIPTION COVERAGE MEASURING APPARATUS - A design automaton extractor extracts a design automaton from design description data, and a property automaton extractor extracts a property automaton from property description data corresponding to the design description data. A matched state detector counts all states of the design automaton, detects matched states matching the property automaton from all the states of the design automaton, and counts the matched states. A coverage calculator obtains a ratio of the number of matched states to the number of all the states of the design automaton, thereby calculating a coverage representing the degree of correspondence of the property description data to the design description data.10-02-2008
20090012925Observation-based user profiling and profile matching - Observation-based user profiling and profile matching are provided. The network behavior of users of a computer-implemented social network are observed and used for user profiling. By observing network behavior instead of necessarily relying on user self-reported data, accurate and objective user profiles can be formed; user profiling is accomplished based on the observed network behaviors with or without the knowledge of the user being profiled. The observed network behaviors can include the customization of a visual graphic, a media preference, a communication preference, or a selection of words from a word list. The user profiles can be with respect to a domain and two or more users can be matched based on their profiles with respect to the same domain. User ratings and profile updating based on the ratings are also provided.01-08-2009
20090187522System and Method for Privacy Preserving Predictive Models for Lung Cancer Survival Analysis - A computer-implemented method for privacy-preserving data mining to determine cancer survival rates includes providing a random matrix B agreed to by a plurality of entities, wherein each entity i possesses a data matrix A07-23-2009
20090119239Agent security via approximate solvers - Efficient heuristic methods are described for approximating the optimal leader strategy for security domains where threats come from unknown adversaries. These problems can be modeled as Bayes-Stackelberg games. An embodiment of the heuristic method can include defining a patrolling or security domain problem as a mixed-integer quadratic program. The mixed-integer quadratic program can be converted to a mixed-integer linear program. For a single follower (e.g., robber or terrorist) scenario, the mixed-integer linear program can be solved, subject to appropriate constraints. For embodiments applicable to multiple follower situations, the relevant mixed-integer quadratic program and related mixed-integer linear program can be decomposed, e.g., by changing the response function for the follower from a pure strategy to a weighted combination over various pure follower strategies where the weights are probabilities of occurrence of each of the follower types.05-07-2009
20090119240Network of Networks of Associative Memory Networks for Knowledge Management - Associative memory systems, methods and/or computer program products include a network of networks of associative memory networks. A network of entity associative memory networks is provided, a respective entity associative memory of which includes associations among a respective observer entity and observed entities that are observed by the respective observer entity, based on input documents. A network of feedback associative memory networks includes associations among observed entities for a respective positive and/or negative evaluation for a respective task of a respective user. A network of document associative memory networks includes associations among observed entities in a respective observed input source, such as a respective input document. A network of community associative memory networks includes associations among a respective observer entity, observed entities that are observed by the respective observer entity, and observed tasks of users in which the observer entity was queried. Associations may be observed into and imagined from the network of networks of associative memory networks.05-07-2009
20090112785SMART BUTTON - The present invention provides for systems and methods that facilitate conveying user information between and among users effectively to thereby create a collaborative filtering environment with maintained user privacy. More specifically, the present invention allows user-profile building to occur coincident with user-browsing, for example. This can be accomplished in part by incorporating an input component on the user interface used for browsing and/or searching. A user who has opted-in to construct a personal profile makes declarations regarding his relationship with at least a portion of the information being currently viewed. The declarations are annotated to the user's profile. At the user's discretion, the user's profile can be disseminated to others in whole or in part such that other people can make use of the user's expertise, experience or opinions. In addition, the user profiles can be machine-readable and searchable.04-30-2009
20080249970METHOD AND COMPUTER PROGRAM PRODUCT FOR SELECTING AMONG MULTIPLE PROVISIONING MECHANISMS IN A SELF-MANAGING COMPUTER SYSTEM - A computer implemented method and a computer program product provide a provisioning system for automated provisioning of a computing infrastructure by providing relationship factories with resources of the computing infrastructure. The relationship factories include information necessary for establishing relationships within the computing infrastructure. The provisioning system ranks relationship factories according to suitability to provide for appropriate provisioning of new resources added to the computing infrastructure.10-09-2008
20120150786MULTIDIMENSIONAL RISK-BASED DETECTION - A computerized method detects suspicious and fraudulent activities in a group of subjects by defining and dynamically integrating multidimensional risks into a mathematical model. A subset of multidimensional risk-weighted detection algorithms are selected so that suspicious or fraudulent activities in the group of subjects can be effectively detected with higher resolution and accuracy. A priority sequence is produced to determine the priority of each detected case during the investigation process. Any set of multidimensional risks identifies a group of subjects that contain this set of multidimensional risks so that group statistics can be obtained for comparison and other analytical purposes. The detection results may adjust the definitions of the multidimensional risks, the mathematical model, and the multidimensional risk-weighted detection algorithms.06-14-2012
20080222069SYSTEM AND METHOD FOR A LOGICAL-MODEL BASED APPLICATION UNDERSTANDING AND TRANSFORMATION - Disclosed is a method of and a system for establishing a logical-model based understanding of a legacy application. The method comprises the steps of providing a physical data model of the legacy application, said physical data model having a plurality of physical elements; establishing a logical data model for the legacy application, said logical data model having a plurality of logical model elements; and establishing links between said logical model elements and said physical elements. One of said physical or logical elements is selected, and said links are used to identify all of the physical or logical elements that are linked to said selected one of said elements. The preferred system may include a component for browsing and navigating the physical data model, logical data model, or the links between them, a component to answer queries about the application expressed using the logical data model, and a component to create a relational data model to support the migration of data stored in legacy databases (including flat files) to relational databases.09-11-2008
20110055133Systems and Methods for Analyzing Communication Options - Methods and systems for analyzing communication options, including determining one or more states of one or more communication-related conditions, and analyzing the one or more states and one or more communication options to determine an optimum communication option.03-03-2011
20110055132IDENTIFICATION AND MEASUREMENT OF SOCIAL INFLUENCE AND CORRELATION - Techniques for detecting social influence between users in a set of users with regard to an activity are provided. Data for each user of the set of users is received that includes a time value at which the user became active with regard to the activity, and includes at least one indication of another user in the set of users associated with the user. A first estimate of social correlation in the set of users is determined based on the data. The data is modified. For instance, the data may be modified according to a shuffle test and/or an edge reversal test. A second estimate of social correlation in the set of users is determined based on the modified data. The first estimate is compared to the second estimate to determine a degree of social influence in the set of users.03-03-2011
20110022556METHOD AND SYSTEM FOR CONNECTING ANALYTIC NETWORK PROCESS MODEL (ANP) WITH FEEDBACK THROUGHOUT THE ANP MODEL BETWEEN SUB-NETWORKS - A computer-implemented system is provided for an analytic network process (ANP) control structure with feedback throughout the ANP control structure. The computer-implemented system includes an ANP control structure storage unit that stores an ANP control structure with feedback throughout the ANP control structure. Also included is a synthesizer that performs a BOCR calculation on the ANP control structure with feedback throughout the ANP control structure, to yield a result which is proper according to ANP theory when values are non-trivial. Also disclosed is a computer-implemented method for an analytic network process (ANP) control structure with feedback through the ANP control structure, and a related computer-readable storage medium encoded with a computer program.01-27-2011
20100293126AUTOMATED JOB APPLICATION SYSTEM INCLUDING APPLICANT HINTS - An automated job application system includes a processor coupled to a display and to a user input device, wherein the automated job application system executes one or more instructions for accepting signals from the user input device to determine responses to questions in a job application; comparing the responses to predetermined conditions; determining that one condition is not met; displaying on the display a notification that the condition is not met; and accepting a signal from a user input device to modify a response to the condition so that the condition is met. In a more specific embodiment, the instructions facilitate displaying the notification that the condition is not met via a hint list. The hint list may provide a plurality of conditions that are not met. The conditions may be required or desired and not required, and an indication may be displayed indicative of which required or desired conditions have been met by the applicant.11-18-2010
20110119216NATURAL INPUT TRAINER FOR GESTURAL INSTRUCTION - A computing device that detects precursory user-input preactions executed in an instructive region and user-input action gestures executed in a functionally-active region is provided. The computing device includes a natural input trainer to present a predictive input cue on a display in response to detecting a precursory user-input preaction performed in the instructive region. The computing device also includes an interface engine to execute a computing function in response to detecting a successive user-input action gesture performed in the functionally-active region subsequent to detection of the precursory user-input preaction.05-19-2011
20120150785ADDRESSING SYSTEM DEGRADATION BY APPLICATION DISABLING - In some embodiments, a routine is executed that identifies one or more applications that consume resources of the computer without a benefit that justifies such consumption, with the routine comprising evaluating at least some data from a source external to the computer, and an ability of the one or more identified applications to start on the computer absent user input requesting or authorizing use of such an application is disabled. In some embodiments, the external source of data may, for example, comprise a remote database identifying potentially undesirable applications and/or a remote software reputation service. In some embodiments, a routine is executed that identifies one or more applications that consume resources of the computer without a benefit that justifies such consumption and that also identifies one or more resources or utilities that utilize the one or more applications. An ability of the one or more identified applications to start on the computer absent user input requesting or authorizing use of such an application is disabled, and an ability of the one or more resources or utilities to attempt to utilize the one or more applications absent user input requesting or authorizing such an attempt is also disabled.06-14-2012
20120278268METHOD AND APPARATUS FOR EXTRACTING EXPLICIT PROFILE REPRESENTATION THROUGH ADAPTIVE RECOMMENDER SYSTEM - An approach is provided for providing recommendations based on preloaded models and for generating user profiles to personalize a user experience with a device or service. A recommendation model platform processes at least one latent user model, at least one latent item model, or a combination thereof associated with a device to determine one or more user preference scores with respect to one or more items. The recommendation platform also processes the one or more user preference scores against one or more thresholds values to determine explicit preference information associated with the one or more items. The recommendation platform also generates at least one user profile associated with the device, a user of the device, or a combination thereof based, at least in part, on the explicit preference information.11-01-2012
20110125690System and method for output of physical entity comparison associated with a social network and selected based on location information - A method includes, but is not limited to: obtaining assessment information being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the assessment information based at least in part on a comparing being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the comparing being between one or more first physical entities and one or more second physical entities based at least in part on status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more first physical entities being selected for the comparing at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part on location information, each of the one or more first physical entities being associated with an electronic based social networking service, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and outputting output information at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part upon one or more elements of the assessment information. In addition to the foregoing, other related system/system aspects are described in the claims, drawings, and text forming a part of the present disclosure.05-26-2011
20100100517FUTURE DATA EVENT PREDICTION USING A GENERATIVE MODEL - The prediction of future data events using a generative model is disclosed. One disclosed embodiment comprises a method of predicting a search engine switch, by first tracking a sequence of events in a user search. Next, a search engine switch based upon the sequence of events tracked is predicted. Then, in response to predicting a search engine switch and prior to the user requesting a search engine switch, an action is taken toward changing a user experience.04-22-2010
20120310872SYSTEM AND METHOD FOR EVALUATING DECISION OPPORTUNITIES - A system and method for evaluating various decision opportunities faced by a person, where the person has the opportunity to take different actions over time, where the state of affairs in each time period and the action taken affect the reward or benefits received by the person at that time and the action is likely to affect the state of affairs in the next time period.12-06-2012
20100121804PERSONALITY-SENSITIVE EMOTION REPRESENTATION SYSTEM AND METHOD THEREOF - A personality-sensitive emotion representation system and method thereof are provided. The personality-sensitive emotion representation system comprises a behavior database, a behavior selection module and a behavior modification module. The behavior selection module selects a set of behavior parameters from the behavior database according to an emotion parameter which represents an input emotion. The behavior modification module modifies the set of behavior parameters according to the personality parameter so as to output a set of personality-sensitive behavior parameters.05-13-2010
20100121803Predictive ephemeral Points-of-interest (PEPOI) - Predicted ephemeral Points of Interest (PEPOI) are provided to wireless application users, as are likelihood maps. Wireless application users are provided with the ability to record locations and retrieve maps of past locations and predicted future locations of PEPOIs of specific interest. To predict a location for a PEPOI, data about previous reported locations are gathered, along with variable values associated with variations in location. The variables gathered may differ based on the type of PEPOI in question. For instance, a person has different variables associated with its locations than does a storm cloud. Once there is enough data recorded to provide predictable patterns, desirable methods of statistical analysis are chosen depending of the behavior model of PEPOI, which can be used to present a visual guide to finding the PEPOIs at a particular time in the future.05-13-2010
20100121801ENHANCED MATCHING THROUGH EXPLORE/EXPLOIT SCHEMES - Content items are selected to be displayed on a portal page in such a way as to maximize a performance metric such as click-through rate. Problems relating to content selection are addressed, such as changing content pool, variable performance metric, and delay in receiving feedback on an item once the item has been displayed to a user. An adaptation of priority-based schemes for the multi-armed bandit problem are used to project future trends of data. The adaptation introduces experiments concerning a future time period into the calculation, which increases the set of data on which to solve the multi-armed bandit problem. Also, a Bayesian explore/exploit method is formulated as an optimization problem that addresses all of the issues of content item selection for a portal page. This optimization problem is modified by Lagrange relaxation and normal approximation, which allow computation of the optimization problem in real time.05-13-2010
20110178970TEMPLATE CLAUSES BASED SAT TECHNIQUES - A CNF formula comprises at least one template clause representing a set of concrete clauses, each associated with a different temporal shift. The template clause is utilized by a SAT solver in determining satisfiability of the CNF formula. The template clause may be utilized to reduce amount of storage resources required for performing the satisfiability analysis. The template clause may in some cases increase feasibility of determining satisfiability. The template clause may in some cases reduce required time to determine satisfiability. The template clause may be utilized in incremental SAT solving to reuse deduced relations between literals that are applicable to additional cycles, such as invariants originating from a transition relation of a model.07-21-2011
20100100515TEXT EDIT TRACKER - A method for monitoring edits to a template for responding to an incoming communication includes categorizing the incoming communication into a category associated with the template for a response to the incoming communication. The method also includes determining distances between the template and each of a set of responses based on the template, at a predetermined level of granularity. The method also includes coding the template in accordance with the determined distances and displaying the coded template. A method for extracting a new template based on responses to an existing template includes selecting factors that affect quantitative measures for preparing a response to the incoming communication. The method includes using a mathematical model of the factors to cluster a set of responses created based on the existing template into two clusters. The method further includes restricting a first cluster centroid to be the existing template and searching for a second cluster centroid for a second cluster.04-22-2010
20090299936POLICY CREATING APPARATUS, POLICY CREATING METHOD, AND COMPUTER PRODUCT - A policy integrity validating unit validates whether a system model can achieve an objective set up in a policy without violating a constraint set up in the policy when a system model is operated according to a procedure set up in the policy. When the policy integrity validating unit determines that there is no integrity between a policy created by a system administrator and the system model, an alternate policy creating unit creates an alternate policy that replaces the policy created by the system administrator. Upon receipt of the alternate policy, the policy integrity validating unit validates integrity between the alternate policy and the system model. When the policy integrity validating unit determines that there is integrity between the alternate policy and the system model, a policy creating apparatus presents the alternate policy to the system administrator.12-03-2009
20090299935METHOD AND APPARATUS FOR DIGITAL FORENSICS - A method and apparatus for digital forensics are provided. The apparatus for digital forensics includes a page file extractor for extracting a page file stored in a target storage medium, a stored-page feature extractor for extracting features of pages stored in the extracted page file, a page classifier for comparing the extracted features of the pages with at least one predetermined classification criterion and classifying the pages according to the comparison results, and a digital forensics unit for performing digital forensics according to the classified pages. According to the method and apparatus, it is possible to perform digital forensics using only information of a page file.12-03-2009
20090292662TIME-SERIES DATA ANALYZING APPARATUS, TIME-SERIES DATA ANALYZING METHOD, AND COMPUTER PROGRAM PRODUCT - Sets of integrated data including history data and time-invariant data grouped for each analysis target are classified based on an inclusion between an amount of change of a time-varying item included in sets of integrated data and a numerical range expressed by an event sequence and also based on a common time-invariant item, to generate a prediction model in which a prediction-target event sequence expressing an amount of change of the event item included in each set of integrated data after being classified and an amount of time required for reaching the amount of change is associated with the event sequence together with a classification condition related to the classification.11-26-2009
20100030717FRAMEWORK TO EVALUATE CONTENT DISPLAY POLICIES - Content display policies are evaluated using two kinds of methods. In the first kind of method, using information, collected in a “controlled” manner about user characteristics and content characteristics, truth models are generated. A simulator replays users' visits to the portal web page and simulates their interactions with content items on the page based on the truth models. Various metrics are used to compare different content item-selecting algorithms. In the second kind of method, no explicit truth models are built. Events from the controlled serving scheme are replayed in part or whole; content item-selection algorithms learn using the observed user activities. Metrics that measure the overall predictive error are used to compare different content-item selection algorithms. The data collected in a controlled fashion plays a key role in both the methods.02-04-2010
20100023469OBJECTIVE DECISION MAKING APPLICATION USING BIAS WEIGHTING FACTORS - A method and system for implementing a weighted belief network that assists collaborative users in making decisions. A belief network structure is employed that further includes user controlled weighting and biasing factors to adjust the probabilities for the various nodes. The various participants have the opportunity to make adjustments to the weighting and credibility of the evidence and participants in the decision making process in order to arrive at what may be perceived as a more objective outcome. As the collaborative environment is established and the belief network is built, each user can apply various weighting and bias scenarios from their own perspective thereby allowing each discrete user to work out their various suspicions regarding the bias of other participants or the actual weight of a discrete piece of supporting evidence in the context of the entire belief network.01-28-2010
20100017353METHODS AND SYSTEMS FOR DATA ANALYSIS AND FEATURE RECOGNITION - Systems and methods for automated pattern recognition and object detection. The method can be rapidly developed and improved using a minimal number of algorithms for the data content to fully discriminate details in the data, while reducing the need for human analysis. The system includes a data analysis system that recognizes patterns and detects objects in data without requiring adaptation of the system to a particular application, environment, or data content. The system evaluates the data in its native form independent of the form of presentation or the form of the post-processed data.01-21-2010
20100017352ENHANCING PERFORMANCE OF A CONSTRAINT SOLVER ACROSS INDIVIDUAL PROCESSES - One embodiment of the present invention provides a system that reuses information associated with a constraint solving operation for a problem domain. This system begins by receiving a constraint problem from the problem domain. Then, the system searches through a problem cache for an entry which corresponds to the canonical representation. If a corresponding entry does not exist in the problem cache, the system produces an entry in the problem cache for the canonical representation. Otherwise, if a corresponding entry already exists in the problem cache, the system generates a solution to the canonical representation by reusing the solver heuristic associated with the corresponding entry in the problem cache.01-21-2010
20090327184USER SUPPORT DEVICE, METHOD, AND PROGRAM - A user support device which accurately judges that a user is in a confused state and supports the user is provided. The user support device includes: a confused state judging unit (12-31-2009
20110307435EXTRACTING STRUCTURED KNOWLEDGE FROM UNSTRUCTURED TEXT - Embodiments of the present invention relate to knowledge representation systems which include a knowledge base in which knowledge is represented in a structured, machine-readable format that encodes meaning. Techniques for extracting structured knowledge from unstructured text and for determining the reliability of such extracted knowledge are also described.12-15-2011
20080270336SYSTEM AND METHOD FOR THE AUTOMATED DISCOVERY OF UNKNOWN UNKNOWNS - Systems and methods are provided for determining unknown unknowns for at least one assisted decision making system. An assisted decision making system has an associated set of at least one story of interest. The system further comprises a plurality of inferencing algorithms. A given inferencing algorithm is operative to generate story fragments from data stored within an associated knowledge base. A first arbitrator is associated with the first assisted decision making system. The arbitrator accepts a story fragment from the plurality of inferencing algorithms if the story fragment is sufficiently related to a story of interest from the set of at least one story of interest.10-30-2008
20100332436MULTI-PAIRS SHORTEST PATH FINDING METHOD AND SYSTEM - A method and system for solving shortest paths from multiple sources to multiple destinations faster. A method of solving the multiple-pairs shortest path problem is provided using processing by a computer having storage means. The method includes the steps of: (A) reading graph data S on multiple vertices as search starting points from a storage area of the computer; (B) reading graph data T on multiple vertices as search targets from the storage area of the computer; (C) selecting k vertices s12-30-2010
20080301077System and Method for Medical Predictive Models Using Likelihood Gamble Pricing - A method for predicting survival rates of medical patients includes providing a set D of survival data for a plurality of medical patients, providing a regression model having an associated parameter vector β, providing an example x12-04-2008
20120041916METHOD AND DEVICE FOR SUPERVISING THE TREATMENT OF A CROP - A method for supervising the treatment of a crop combines a field record, models of plants, diseases or insects and active substances coupled together, and includes, at least once, the following steps: 02-16-2012
20120041917METHODS AND SYSTEMS FOR ADAPTING A USER ENVIRONMENT - A method of adapting an environment of a terminal (02-16-2012
20120150783Disaster Analysis and Decision System - A disaster analysis and decision system comprises a geographic area module that comprises geographic data for a given geographic area; an artificial facilities module that comprises artificial facilities data positioned in the geographic area; a disaster control facilities module that comprises disaster control facilities data for the geographic area; an environmental variable module that receives and stores environmental variables that affects the geographic area; an analysis module that analyzes how the environmental variables affect the geographic area, the artificial facilities within the geographic area and the disaster control facilities for the geographic area, and decides how to control the disaster control facilities; a report module that provides reports for the analysis; and a database that stores data from other modules.06-14-2012
20090171876Cover type controlled graph rewriting based parallel system for automated problem solving - The invention gives desired algorithmic solutions, even impossible to derive denumerably from preceding ones, as transducers for any kind of problem, e.g. groups of equations or construction puzzles with variables unlimited even by type. The invention treats problems as triples of a mother graph as the subject of the problem, a solving determining recognizer and limit demands for proper solution types. The invention disperses the mother graphs into abstract partial problems regarding chosen interacting rewriting types with mutual relations controlling profoundness in memory hunting, and by bijective partitions creates abstract sisters for those conceptual graphs. As solutions for the examined problems are micros for the parallel transducers of macros of known solving transducers having common parts with substances of those macros and being not necessarily limited to reducing ones. All conceivable solutions are obtained interacting rewrite type being right sides distinct generalized cover renetting, if the mother graph is denumerable and contents in iteration are not expanded. As an exact universal mathematical structure of controlling inventiveness the invention can be considered as the prime algorithm of independently programs inventing machines for problem solving.07-02-2009
20090171877Printer - A printer includes a use status computation section which collects statistics of a use status of an analyzed print job and computes a use frequency and an execution interval of a language translation program based on a result of the statistics, and a resident mode switching section which causes a language translation program with a highest use frequency to initially stay resident in a memory and further causing a language translation program with a high use frequency and a long execution interval to stay resident next to the language translation program with the highest use frequency in the memory.07-02-2009
20090171875SYSTEMS, METHODS AND APPARATUSES FOR RANK COORDINATION - Embodiments of the invention are generally directed to systems, methods, and apparatuses for rank coordination. In some embodiments, a host includes rank coordination logic. The rank coordination logic may include performance measurement logic to measure a performance of a memory channel and dwell period control logic to select a length of a dwell period based, at least in part, on the performance of the memory channel. Other embodiments are described and claimed.07-02-2009
20120047100METHOD FOR PRODUCING AT LEAST ONE APPLICATION DESCRIPTION - An application description is generated with a plurality of application blocks. First, at least one basic document is read in and analyzed. During the analysis of the basic document, a knowledge base is constructed with knowledge elements, wherein the knowledge elements recognized are at least one data field and/or at least one component, and the knowledge elements are preferably at least to some extent flagged as assumptions. Then, at least one conflict-free knowledge partition is determined, where the at least one knowledge partition has a respective set of conflict-free assumptions. The at least one application description is produced from the at least one knowledge partition with the application blocks.02-23-2012
20090083205ASSISTING A USER EXPERIENCING COGNITIVE DECLINE BY RETRACING FOOTSTEPS - Briefly, in accordance with one or more embodiments, a user experiencing cognitive decline or a similar affliction may be assisted with the performance of daily tasks or routines. An information handling system installed in a central room of the user's living quarters, such as a kitchen, to observe the user and determine if the user is having difficulty completing the task or routine. If it is determined that the user is experiencing difficulty, the information handling system may provide one or more cues to the user to assist the user in remembering what the user has just completed in order to indicate to the user what part of the task remains to be completed. For example, the steps recently taken by the user may be retraced by projecting an image of those footsteps onto the floor to show the user where she has recently been.03-26-2009
20120059782SYSTEM AND METHOD FOR SOLVING QUADRATIC PROGRAMMING PROBLEMS WITH BOUND CONSTRAINTS UTILIZING A SEMI-EXPLICIT QUADRATIC PROGRAMMING SOLVER - A system and method for solving a quadratic programming optimization problem with bound constraints using a semi-explicit QP solver with respect to an embedded platform is presented. A linear system of equations associated with a matrix (e.g., a Karush-Kuhn-Tucker matrix, KKT system) can be solved at each iteration of the solver based on a factorization approach. A set of partial factors with respect to the QP problem can be pre-computed off-line and stored into a memory. The factorization process of the KKT matrix can then be finished on-line in each iteration of the semi-explicit QP solver in order to effectively solve the QP optimization problems. The QP problem can be solved utilizing a standard active-set approach and/or a partial explicit approach based on a processor utilization and memory usage.03-08-2012
20120005143Model and algorithm for automated item generator of the graphic intelligence test - A model for automated item generator of the graphic intelligence test solves the tremendous time consuming problem for manually devising the graph intelligence item. At the same time, the invention can automated generate more complicated, more transformations and better layout graph for intelligence test, which are hard to predict. The model utilizes the 12 branch tree as the expressing pattern of matrix graph item, and 8 branch trees as the expressing pattern of series graph item. The automated generating item methods have been presented, and the difficulty of the item has also been validated with the similarity of the optional answers and difficulties of the rules and complexity of the sub-graph. The best feature of the model is that a big amount of the graph item for intelligence test can be generated at one time by the computer, instead of manually devising the matrix graph or series graph for intelligence test. With the model, the online intelligence test platform can update the test database automatically, thus the intelligence and the ability of the examinee can be evaluated breaking through the barrier of the language, culture and education background.01-05-2012
20110093423INTELLIGENT TRUST MANAGEMENT METHOD AND SYSTEM - Intelligent Trust Management provides a centralized security facility that gives system components a flexible mechanism for implementing security policies. System components such as applications create a request describing an action that needs to be checked against an appropriate security policy. The request is given to a trust system that determines which policy object applies to the request, and may pass request arguments to the policy. The policy objects include executable code that uses any arguments along with dynamically obtained variable information to make a decision. The decision is returned to the system component, which then operates accordingly. Policy objects may maintain state and interface with the user independent of the system component in order to obtain information to make their decisions. Policy objects may call other policy objects and/or mathematically combine the results of other policy objects to make a decision.04-21-2011
20110093422TIME-BASED CONFLICT RESOLUTION - A conflict resolution mechanism collects statistical data regarding how much time certain common actions or waits take. For example, the mechanism may collect statistics on disk I/O for each disk device. Statistics may include the average access time, for example. Such statistics may be collected over a sliding window of time. With the statistical data that the mechanism collects, the mechanism can make a more intelligent judgment regarding whether a process is in a “hanging” condition. For example, if the average I/O to a disk is 10 seconds for the past hour, and if a process is doing disk I/O to that disk for 5 seconds, then the mechanism will not yet determine that the process is hanging. In order to determine whether the process is hanging, the mechanism looks at the average time and the longest time for the particular actions that the process is performing.04-21-2011
20110093421DYNAMIC CONSTRAINT SATISFACTION PROBLEM SOLVER WITH SUB-PROBLEM PLACEHOLDER - A dynamic constraint solver for solving a constraint satisfaction problem network that includes a plurality of nodes and a plurality of constraints determines a cardinality for a set of sub-problems. The cardinality is a numeric domain that represents the minimum number of instances in a port. The solver determines if a number of identifiable instances of sub-problems is less than the minimum number of instances. The solver then causes a user interface to display the identifiable instances and a placeholder for each instance that is below the minimum number of instances and is not identifiable.04-21-2011
20120005142FAST ADAPTATION IN REAL-TIME SYSTEMS - According to one embodiment of the present invention, a method for online convex optimization is provided. The method includes performing a step that relies on the selection of x at a time t (x01-05-2012
20080288429Adaptable Clinical Workflow - Method of generating a number of steps constituting an adaptable clinical workflow based on a recursive approach in which for each step of the workflow the following steps are executed: Selecting a number of knowledge bases to be included in a reasoning step on the basis of (a) goal(s), generating (a) query(ies) taking into account the goal(s), applying the selected knowledge bases and the generated queries to a reasoning engine so as to generate a solution, interpreting this solution by translating the solution given in a formal representation into (an) executable action(s) for the current step in the clinical workflow.11-20-2008
20100169260Methods and systems for presenting an inhalation experience - Methods, computer program products, and systems are described that include accepting an indication of a schedule for administration of an inhalation device-dispensed bioactive agent to an individual and presenting an indication of an artificial sensory experience at least partly based on the accepting an indication of the schedule for administration of the inhalation device-dispensed bioactive agent to the individual.07-01-2010
20090327186SYSTEM AND METHOD FOR SELECTING CANDIDATES FROM A FAMILY OF CANDIDATES - A technique facilitates selection of underground substance storage sites. Criteria are established to enable evaluation of a plurality of underground storage sites for storing a given substance. Optimal goals or targets are determined, and the potentially numerous and varied criteria are assessed against those optimal goals. A predetermined rational method is used to process and evaluate the criteria in a manner that ultimately enables selection of a desirable storage site.12-31-2009
20110167029METHOD AND DEVICE FOR CLASSIFYING, DISPLAYING AND EXPLORING BIOLOGICAL DATA - The invention provides a method for use in an automated biological liquid analysis machine that measures at least four physical parameters for each cell detected, the method both performing classification, by discrimination and enumeration, into a set of at least three cell classes and also representing them. In this method, the following are stored and executed as required: mathematical transformations for transforming a plurality of n-tuples into m-tuples, m07-07-2011
20120066165TRACEROUTE DIAGNOSIS - A set of data obtained from a plurality of traceroutes is received in a computer. A set of variables indicating characteristics of the traceroutes is generated. The variables are used as input to a decision tree, the decision tree being configured to recursively partition the variables into groups according to respective round-trip times associated with the groups. Output is obtained from the decision tree reflecting an association of one or more network elements with a round-trip time.03-15-2012
20120016830INSTANTIATING AN INFORMATION TECHNOLOGY SERVICE IN LIGHT OF MAINTENANCE REQUIREMENTS - In a method of instantiating an information technology (IT) service in light of maintenance requirements, maintenance window instances are determined. The maintenance instance windows are associated with reusable service instances available in a datacenter. The maintenance window instances are analyzed in conjunction with a service model of said IT service to determine a maintenance efficient binding of a selection of said reusable service instances with which to provide an instance of said IT service.01-19-2012
20120023054Device and Method for Creating a Process Model - A method and device for creating a process model, wherein the process model has great expressive power and is intuitively understandable for a human user and is processable by a machine. Creation of the process model is performed by providing a concrete process model, a process meta model, and a mapping of concrete process steps to abstract process steps of the process meta model. It is particularly advantageous that the defined process meta model can be reused in relation to further domain-specific, concrete process models. Accordingly, step-for-step instructions can be semantically enriched, structured, and processed.01-26-2012
20120059783MINIMIZING LATENCY IN NETWORK PROGRAM THROUGH TRANSFER OF AUTHORITY OVER PROGRAM ASSETS - Authority over an artificial intelligence (AI) asset can be controlled among two or more processing devices running a common program over a network using a technique in which authority can be transferred. A first processing device can exercise authority over the AI asset by executing code that controls one or more actions of the AI asset according to a decision tree. The decision tree can determine whether to engage the program asset based on criteria other than a distance between the AI asset and the program asset. The first processing device can broadcast a state of the AI asset to one or more other devices running the program. If the decision tree determines that the AI asset should engage a program asset over which another processing device has authority the first processing device can relinquish authority over the AI asset and transfer authority to the other device.03-08-2012
20120158633Knowledge graph based search system - Methods, computer program products and systems for developing and implementing a Knowledge Based Search System for an entity. Entity related data are analyzed as required to develop an entity knowledge and one or more knowledge graphs. The knowledge graphs are used to support the retrieval of relevant search results.06-21-2012
20120123987SYSTEMS AND METHODS FOR DYNAMICALLY RECONFIGURING PREDICTIVE ANALYTICS WITHIN WORKFLOWS USING SELECTIVE USER FEEDBACK - Methods and arrangements for managing and enhancing workflow. A work item is accepted and the is routed from a first node to a second node based on a predictive analytics model. The predictive analytics model is validated, and is reconfigured responsive to the validating.05-17-2012
20120158634ARTIFICIAL INTELLIGENCE SYSTEM - An artificial intelligence system and method for interpreting input from a user and generating a response to the user. The input is converted into an array of concepts which are compared to a database of interrelated concepts. A response is generated based on the concepts in the database and their relationship to the concepts in the input array. The system and method may be implemented in a number of electronic or computer devices to interact with humans or computer systems.06-21-2012
20120072385TECHNIQUE FOR SOLVING OPTIMIZATION PROBLEM - A method for solving an optimization problem includes: causing a cylindrical algebraic decomposition (CAD) processing unit to carry out a projection processing for a first expression that appears in a quantifier elimination problem equivalent to the optimization problem including objective functions and to generate second expressions that are projection factors of the first expression; calculating plural sets of values of the objective functions by generating plural value sets of variables in the objective functions and substituting the generated plural value sets of the variables into the objective functions; extracting points including non-dominated solutions in a space mapped by the objective functions, from plural points corresponding to the plural sets of values; calculating, for each second expression, an evaluation value concerning a distance between a corresponding second expression and each of the extracted points; and identifying a second expression whose evaluation value is minimum.03-22-2012
20120123986SYSTEMS AND METHODS FOR MODELING AND ANALYZING SOLUTION REQUIREMENTS AND ASSETS - Systems and associated methods for capturing and storing asset analysis details are described. Systems and methods provide for building a model of the particular asset requirement for a specific purpose and a model of the range of capabilities that a particular asset can provide. The mapping of these two models allows for the identification of the best asset for a particular solution requirement. An asset match may occur when an asset capability model whose functional and non-functional capabilities subsume the functional and non-functional requirements specified in the asset requirements model.05-17-2012
20110066582SERVICE COMBINATION SUPPORT APPARATUS, SERVICE COMBINATION SUPPORT METHOD, AND STORAGE MEDIUM - A service combination proposing unit (03-17-2011
20110106744CONTENT RECOMMENDATION DEVICE, CONTENT RECOMMENDATION SYSTEM, CONTENT RECOMMENDATION METHOD, PROGRAM, AND INTEGRATED CIRCUIT - A content recommendation device and a content recommendation method that recommend appropriate content with appropriate timing are provided. The content recommendation device (05-05-2011
20120317065PROGRAMMABLE PROBABILITY PROCESSING - In an aspect, in general, a programmable computation device performs computations of an inference task specified by a plurality of variables and a plurality of factors, each factor being associated with a subset of the variables. The device includes one or more processing elements. Each processing element includes a first storage for a definition of a factor, a second storage for data associated with the inputs and/or outputs of at least some of the computations, and one or more computation units coupled to the first storage and the second storage for performing a succession of parts of the at least some of the computations that are associated with a factor, the succession of parts defined by data in the storage for the definition of the factor.12-13-2012
20100094792ASSOCIATIVE RELEVANCY KNOWLEDGE PROFILING ARCHITECTURE, SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT - Provided are architectures, system, methods, and computer program products that provide a user with the ability to define an association of data and/or information from known reference sets perceived by the user as relevant to a subject matter domain, thereby imparting and formalizing some of the user's knowledge about the domain. An associative relevancy knowledge profiler may also allow a user to create a profile by modifying or restricting the known reference sets and windowing the results from the association as a user might refine any other analysis algorithms. An associative relevancy knowledge profiler may also be used to define a user profile used by the user and others. A user profile may be usable in various manners depending upon, for example, rights management permissions and restrictions for a user.04-15-2010
20100094791Fraud Detection and Analysis - Systems and methods generate a risk score for an account event. The systems and methods automatically generate a causal model corresponding to a user, wherein the model estimates components of the causal model using event parameters of a previous event undertaken by the user in an account of the user. The systems and methods predict expected behavior of the user during a next event in the account using the causal model. Predicting the expected behavior of the user includes generating expected event parameters of the next event. The systems and methods use a predictive fraud model to generate fraud event parameters. Generation of the fraud event parameters assumes a fraudster is conducting the next event, wherein the fraudster is any person other than the user. The systems and methods generate a risk score of the next event to indicate the relative likelihood the future event is performed by the user.04-15-2010
20090132455AUTOMATED METHOD AND SYSTEM FOR CASE MATCHING ASSESSMENT BASED ON GEOMETRICAL EVALUATION OF STAGES IN TREATMENT PLAN - Methods and systems for characterizing a dentition of a patient including receiving an initial dentition of a patient, generating an initial profile representing the initial dentition of the patient, identifying an initial malocclusion from the initial profile, comparing at least a portion of the initial profile with one or more reference profiles of reference dentitions, wherein said one or more reference profiles includes a reference malocclusion substantially similar to the initial malocclusion, and calculating a value for the closeness of the initial profile and the reference profile are provided.05-21-2009
20090132454SYSTEM FOR MATCHING PATTERN-BASED DATA - A pattern-based data matching system matches pattern-based data. The data matching system generates a regular expression pattern for input datasets and describes similarity measures between the generated patterns. The data matching system analyzes an input dataset in terms of symbol classes, generalizing input values into a general pattern to allow identification or extrapolation of overlap between input datasets, aiding in matching fields in databases that are being merged and in learning a pattern for an input dataset. For each sequence of data values, the present system computes a compact pattern describing the sequence. Embodiments of the data matching system comprise noise reduction and repetitive pattern discovery in the input dataset and calculation of recall and precision of the generated pattern.05-21-2009
20090132453SYSTEMS AND METHODS FOR PRIORITIZING MOBILE MEDIA PLAYER FILES - Disclosed are embodiments of systems and methods for prioritizing mobile media player files by providing for the automated addition and/or deletion of media items for a mobile media player. In some embodiments, a statistical method may be provided for inferring which media items on a mobile media player should be deleted based on, for example, user taste data. In some embodiments, new media items may be loaded onto a user's mobile media player by creating one or more playlists from a playlist builder. The playlist(s) may be created by using user taste data. Rankings may also be created to determine an order for deletion of the media items currently on a mobile media player and/or for addition of new media items to the device.05-21-2009
20120317066INTEREST LEVEL MEASUREMENT SYSTEM, INTEREST LEVEL MEASUREMENT DEVICE, INTEREST LEVEL MEASUREMENT METHOD, AND INTEREST LEVEL MEASUREMENT PROGRAM - Data that indicates an action state of a user is acquired by a user terminal. Area stay information that includes position information of an area in which the user stays and stay time information of a time during which the user stays in the area is acquired. The data acquired by the user terminal is stored, and the stored data is read according to the acquired area stay information. A behavior status of the user is determined based on the read data, and a behavior status time-series pattern that indicates the behavior status of the user is created. A behavior feature value that indicates a feature of a behavior of the user is calculated based on the created behavior status time-series pattern. An area interest level that indicates a degree and tendency of the user's interest in the area is determined using the calculated behavior feature value.12-13-2012
20110125692System and method for physical attribute status comparison of physical entities including physical entities associated with a social network and selected based on location information - A method includes, but is not limited to: selecting, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, one or more first physical entities based at least in part upon location information, the selecting the one or more first physical entities for comparing the one or more first physical entities with one or more second physical entities, each of the one or more first physical entities associated with an electronic based social networking service, obtaining, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and determining, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, assessment information by at least in part comparing the one or more first physical entities with the one or more second physical entities based at least in part upon the status information about the one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities. In addition to the foregoing, other related method/system aspects are described in the claims, drawings, and text forming a part of the present disclosure.05-26-2011
20120317067EVALUATING RECOMMENDATIONS - Generally described, embodiments of the present disclosure are directed toward the identification of items for inclusion in a recommendations list that may be displayed concurrently with an item selected by a user or users. The recommended items may be items that are of potential interest to the user and/or may be items that are related to the selected item. More specifically, embodiments of the present disclosure provide a method and system for generating one or more recommendations lists, providing those lists to users, evaluating users' interactions with those lists, and modifying the engines or techniques used to identify items that are to be included in the recommendations lists.12-13-2012
20120221502APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM - The APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM (“DCM-Platform”) transforms digital dialogue from consumers, client demands and, Internet search inputs via DCM-Platform components into tradable digital assets, and client needs based artificial intelligence campaign plan outputs. In one implementation, The DCM-Platform may capture and examine conversations between individuals and artificial intelligence conversation agents. These agents may be viewed as assets. One can measure the value and performance of these agents by assessing their performance and ability to generate revenue from prolonging conversations and/or ability to effect sales through conversations with individuals.08-30-2012
20120130932SYMBOLIC FINITE AUTOMATA - Described are symbolic finite automata for symbolically expressing and analyzing regular expression constraints, such as for use in program analysis and testing. A regular expression or pattern is transformed into a symbolic finite automaton having transitions that are labeled by formulas that denote sets of characters (rather than individual characters). Also described is composing two or more symbolic finite automata into a resulting symbolic finite automaton that is fully satisfiable. A constraint solver may be used to ensure satisfiability.05-24-2012
20120130933METHOD AND SYSTEM FOR SUPPORTING TO MAKE INVENTION - Method and system for making an invention are disclosed. Invention spaces are provided to support one to make pioneer-type or improvement inventions. An imaginary invention space is formed based on two circles disposed at both ends of an axis respectively. Each of the circles is determined by the number of indispensable constituent elements of inventions relating to a product. The method according to the invention comprises step for determining a first construction of a product having a plurality of indispensable elements, step for determining a second construction of a product having at least one element of the plurality of the indispensable elements, and step for determining a third construction of a product having the at least one element of the indispensable elements for the second construction and at least one new element not included in the plurality of indispensable elements.05-24-2012
20120130931BOOTSTRAPPING RECOMMENDER SYSTEM AND METHOD - Bootstrapping a recommender system that makes item recommendations. The bootstrapping identifying questions for use in interviewing a user, e.g., a new user to the recommender system, to obtain user information, e.g., user profile information, for use in predicting item ratings for the user, the predicted item ratings for use in identifying item recommendations for the user. The bootstrapping using a cost function to minimize error in selection of the questions for the interview. The bootstrapping comprising a static bootstrapping and an adaptive bootstrapping.05-24-2012
20100205133SYSTEM AND METHOD FOR PROVIDING AUTONOMIC MANAGEMENT OF A NETWORKED SYSTEM FOR USING AN ACTION-CENTRIC APPROACH - According to the present invention, there is provided a SAN management system to provide autonomic management of a storage system using an action-centric approach. The SAN management system includes a policy specification logic block to maintain a policy specification associated with the managed system. In addition, the SAN management system includes a reasoning logic block to provide for the determining of action rules using a combination of logic and information obtained from the policy specification. Also, the SAN management system includes a learning logic block to couple the policy specification logic block with the reasoning logic block to improve an understanding of a managed system. The learning is continuous and provides for autonomic evolvement of the system in which reliance on manual input from a user is lessened.08-12-2010
20100205132BEHAVIOR PREDICTING DEVICE - A characteristic value temporary setting section temporarily sets a characteristic value of an object depending on the type of the object judged by a type judging section. A characteristic value correcting section corrects the temporarily set characteristic value of the object according to the behavior of the object detected by a behavior detecting section. A type setting section sets the type of object as one of a motorcycle, a bicycle, and a pedestrian according to the corrected characteristic value of the object. A behavior predicting section predicts the behavior of the object on the basis of the corrected characteristic value and the set type of the object. Therefore, the behavior is predicted on the basis of the characteristic value corrected according to the actual behavior and the type of the object, and consequently, the accuracy of the behavior prediction is improved.08-12-2010
20110184900AFFECTIVE MODEL DEVICE AND METHOD FOR DECIDING THE BEHAVIOR OF AN AFFECTIVE MODEL DEVICE - An affective model device and a method of deciding the behavior of an affective model device are provided. The affective model device has affective components representing trait, attitude, mood, emotion, and the like. The affective model device updates the emotion at regular time intervals or when a stimulus is received, and decides the behavior based on the updated emotion. The emotion may be updated depending on trait, attitude, and mood.07-28-2011
20110184899METHOD AND SYSTEM FOR GENERATING RECOMMENDATIONS OF CONTENT ITEMS - A recommendation system comprises a recommendation server (07-28-2011
20120254088MODEL-DRIVEN EVENT DETECTION, IMPLICATION, AND REPORTING SYSTEM - An event analysis system monitors information available from both publicly and privately distributed networks of information for events that are relevant to the user's particular business concerns. Those concerns are defined in a customized model of the user's organization and external business environment. The system receives the information, detects events in the information, interprets the events, and determines implications of these events. The detection and implication proceeds with regard to specific entities, relationships between entities, and definitions of the types of events which may occur in the environment in which the entities exist. Accordingly, the analysis system intelligently adapts its processing to recognize and report events which may be of interest for any particular entity.10-04-2012
20120173472SIMILARITY MATCHING OF A COMPETITOR'S PRODUCTS - In embodiments of the present invention improved capabilities are described for identifying a classification scheme associated with product attributes of a grouping of products of an entity, receiving a record of data relating to an item of a competitor to the entity, the classification of which is uncertain, receiving a dictionary of attributes associated with products, and assigning a product code to the item, based on probabilistic matching among the attributes in the classification scheme, the attributes in the dictionary of attributes and at least one known attribute of the item.07-05-2012
20120317064INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus may include a processor to acquire information associated with behavior of a user and information associated with satisfaction degree of the user, and to analyze an association between the information associated with behavior and the information associated with satisfaction degree12-13-2012
20100049685Pattern Discovery Techniques for Determining Maximal Irredundant and Redundant Motifs - Basis motifs are determined from an input sequence through an iterative technique that begins by creating small solid motifs and continues to create larger motifs that include “don't care” characters and that can include flexible portions. The small solid motifs, including don't care characters and flexible portions, are concatenated to create larger motifs. During each iteration, motifs are trimmed to remove redundant motifs and other motifs that do not meet certain criteria. The process is continued until no new motifs are determined. At this point, the basis set of motifs has been determined. The basis motifs are used to construct redundant motifs. The redundant motifs are formed by determining a number of sets for selected basis motifs. From these sets, unique intersection sets are determined. The redundant motifs are determined from the unique intersection sets and the basis motifs. This process continues, by selecting additional basis motifs, until all basis motifs have been selected.02-25-2010
20100049684METHODS AND SYSTEMS FOR KNOWLEDGE DISCOVERY - Provided are methods and systems for knowledge discovery utilizing knowledge profiles.02-25-2010
20100049683COLLABORATIVE DEBATING TECHNIQUES - Techniques for collaborative debating are provided. Pieces of content are associated with particular identities and submitted to virtual communities. The content and the identities then receive metrics as: comments, attributions, and/or reputation ratings from various members of the virtual communities. The metrics are collected in a repository and subsequently summarized for requesters to assist in analyzing the credibility of the identities and/or the value that particular pieces content add to a particular debate within a particular virtual community.02-25-2010
20120179638RELATIVE VARIABLE SELECTION SYSTEM AND SELECTION METHOD THEREOF - The present invention discloses a relative variable selection system and a selection method thereof. In the present invention, the receiving module receives a plurality of variables. Based on a correlation coefficient of variables, a first selection module sequentially selects variables with a correlation coefficient greater than a first threshold value. Based on the variables selected by the first selection module, a first calculating module selects a regression value and a weighted value corresponding to the foregoing variables. Based on the weighted values, a second selection module sequentially selects variables with a weighted value smaller than a second threshold value. Based on the variables selected by the second selection module, a second calculating module calculates analyzed values of the foregoing variables. Based on the analyzed values of the variables, a third selection module selects analyzed values which are greater than the target value.07-12-2012
20100274748Dynamic Constraint Satisfaction Problem Solver With Part-Whole Hierarchy Constraints - A constraint solver for solving a constraint satisfaction problem model which includes at least one part-whole hierarchy assigns variables to each part of the part-whole hierarchy. The variables include at least one of selected, quantity, and relative quantity, wherein each part has a parent. The solver automatically applies at least one part-whole hierarchy constraint to the part and solves the model and generates a solution.10-28-2010
20100010950DETERMINING COMPLIANCE RATES FOR PROBABILISTIC REQUESTS - Systems and methods for solving a constraint satisfaction problem (CSP) defined by one or more variables, constraints and probabilistic requests (PRs) are provided. In one embodiment, each PR is mapped onto a set of constraints that implement the PR. The CSP solver then finds a series of solutions to the CSP. For each solution, if a constraint associated with a PR is satisfied, then a success counter for that PR is incremented; else a failure counter for that PR is incremented. If the constraint was not considered for the purpose of solving the CSP, then the failure counter for the PR associated with the constraint is incremented.01-14-2010
20120226645Predicting the Performance of a Financial Instrument - Systems and methods are disclosed for predicting the performance of a financial instrument by extracting influential features and emotional sentiment data from received data values, common features, and internet sources, each corresponding to a financial instrument, building multiple predictive models using random selections of the data values and combining the predictive models to create a combined prediction model. The combined prediction model provides a combined predicted data value where the combined predicted data value is a performance indicator, such as a classification count or percentage, of data values that correspond to the financial instrument and classify correctly via the prediction models. Further, the combined prediction model may be iterated over new or test data values to constantly select the most influential common features to build new prediction models and a resulting new combined prediction model for reducing a classification predictive error and updating the combined predicted data value.09-06-2012
20120084242COUPLING OF RATIONAL AGENTS TO QUANTUM PROCESSES - The present invention provides devices, methods, and systems for coupling a rational agent to a quantum process. In particular, the present invention provides rational agents configured to influence a quantum process, or to derive information from a quantum process, and methods and uses thereof.04-05-2012
20120259805INFORMATION ESTIMATION DEVICE, INFORMATION ESTIMATION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - Disclosed is an information estimation device for estimating an appropriate issue time from a time representation described in a document without intervention of any operator; wherein an information estimation device (10-11-2012
20120226646METHOD AND APPARATUS FOR CERTIFICATION OF FACTS - A method and apparatus for certification of facts introduces a certifier and a fact certificate into the fact-exchange cycle that enables parties to exchange trustworthy facts. Certification is provided to a fact presenter during the first part of the fact-exchange cycle, and verification is provided to the fact receiver during the last part of the cycle. To request a certification, a fact presenter presents the Certifier with a fact. In return, the certifier issues a fact certificate, after which the fact presenter presents the fact certificate to the fact receiver instead of presenting the fact itself. The receiver inspects the received certificate in order to evaluate the fact's validity and trustworthiness. For some facts and notions of verification, the certificate is sufficient and its inspection does not require any communication. For others, the receiver requests a verification service from the Certifier in order to complete the verification.09-06-2012
20120265721CASE ACQUISITION FOR INCREMENTAL CASE-BASED REASONING SYSTEM - A method and system are presented that simplify acquisition of cases for an incremental Case-Based Reasoning system. Case acquisition closely follows the normal problem-solving process and cases are automatically created in a form suitable for the CBR runtime. The method and system rely on the fact that the CBR runtime is already capable of taking the input data and constructing a case in a form that corresponds to the library cases. The problem-solving mode is transformed into the case-acquisition mode by replacing the ‘choose next action’ step in the incremental CBR algorithm by a step that generates a set of all applicable actions given the current content of the session case and the model. From these the user can choose an action that corresponds to an action from the real-world case description. This is repeated as part of the incremental CBR loop until a full case has been acquired.10-18-2012
20110125693System and method for output of physical entity comparison associated wih a social network and selected based on location information - A method includes, but is not limited to: obtaining assessment information being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the assessment information based at least in part on a comparing being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the comparing being between one or more first physical entities and one or more second physical entities based at least in part on status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more first physical entities being selected for the comparing at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part on location information, each of the one or more first physical entities being associated with an electronic based social networking service, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and outputting output information at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part upon one or more elements of the assessment information. In addition to the foregoing, other related system/system aspects are described in the claims, drawings, and text forming a part of the present disclosure.05-26-2011
20120233105SIMULATION SYSTEM - A simulation system is proposed that makes use of historical and live data sensed for one or more objects (e.g., people, cars, balls, rackets, etc.). An event will include one or more decision points. A choice of an action to take at a decision point is made. That chosen action will be simulated based on the historical and live data. The simulation can be compared to the actual action taken in the event as a way to judge the choice. Although the choice of action to take at the decision point is simulated, the real event is not altered by the choice.09-13-2012
20120233106SYSTEM FOR DATA ARCHIVING AND SYSTEM BEHAVIOR PREDICTION - An electronic data analysis, storage, and retrievable system includes a verification capability for verifying the integrity of the system's operational health. An operation monitoring mechanism continuously monitors the system's operation. A collection mechanism contains relevant system data. The system further includes a storage ability for archiving system data. A media verification mechanism verifies the integrity and authenticity of storage media. Finally, a data analysis mechanism analyzes and compares archived system information.09-13-2012
20080301076Systems and Methods for Analyzing Information Technology Systems Using Collaborative Intelligence - An information technology (IT) system of interest is analyzed using collaborative, community-based sharing of expert knowledge, analysis and advice through user-submitted analysis rules and/or user-submitted report templates. Users may submit rules that have been found to be useful in analyzing or managing IT systems. A rule may analyze a particular item of configuration data or performance data according to a predetermined criterion. Other users may apply these rules to their own systems' data and, thereby, utilize the collective expertise of the people who submitted the rules. Performance and configuration data from IT systems or components of the systems in various enterprises is collected and then sanitized by removing or masking identifying information before storing the sanitized data in a data warehouse. An IT manager may compare data from his/her IT system to historical data from the system or to data from IT systems having similar workloads, configurations, problems or according to other matching criteria, without obtaining confidential information about the comparison systems. Such comparisons may use the user-submitted rules. Reports are generated from these analyses and comparisons according to predefined and/or user-submitted report templates and report component templates for items such as text blocks, tables, graphs, charts and block diagrams.12-04-2008
20110131168RECOMMENDATION INFORMATION EVALUATION APPARATUS AND RECOMMENDATION INFORMATION EVALUATION METHOD - A content evaluation apparatus and a content evaluation method that can distribute contents that a user potentially needs without any omissions. A history class separation unit generates a separation plane for separating in a separation plane a characteristic vector of a selected content and characteristic vectors of non-selected contents stored in a browsing history table. A user characteristic vector calculation unit generates a user characteristic vector based on an orthogonal vector perpendicular to the separation plane thus generated and stores the user characteristic vector in a user characteristic vector management table. Subsequently, when a recommendation request receiving unit receives a recommendation request, a content evaluation unit evaluates the contents based on the stored user characteristic vector.06-02-2011
20110047114METHOD, APPARATUS AND COMPUTER PROGRAM FOR ENABLING MANAGEMENT OF RISK AND/OR OPPORTUNITY - The invention relates to a method for enabling management of at least one opportunity having a maximum opportunity level and to which one or more exploits that realise the opportunity can be applied, the method comprising: (i) determining the total opportunity improvement of all exploits applicable to at least one opportunity assuming that all said exploits are fully applied to realise the opportunity and that all said exploits are independent of each other; (ii) determining the contribution of the or each said exploit to said total opportunity increase; (iii) determining the level of actual opportunity increase from each said exploit taking into account, for each of said exploits, the contribution of the or each exploit to said total opportunity increase, the dependency of the exploit on other exploits applicable to said opportunity, and the degree to which the exploit is applied to realise said opportunity; and, (iv) determining from said levels of actual opportunity increase from each said exploit the total actual result improvement applied to said result.02-24-2011
20110047113Method and apparatus for the prediction of order turnaround time in an information verification system - A method and apparatus for the prediction of order turnaround time in an information verification system is disclosed. An information verification order comprises several and diverse instances of different types of elementary verification/validation/search services. Each of these services is characterized by its own turnaround time (TAT) statistical distribution function which is used in the prediction of order turnaround time. A Monte Carlo algorithm is used to determine the order turnaround time.02-24-2011
20120323836Systems and Methods for Detecting and Coordinating Changes in Lexical Items - Systems and methods for efficiently detecting and coordinating step changes, trends, cycles, and bursts affecting lexical items within data streams are provided. Data streams can be sourced from documents that can optionally be labeled with metadata. Changes can be grouped across lexical and/or metavalue vocabularies to summarize the changes that are synchronous in time. The methods described herein can be applied either retrospectively to a corpus of data or in a streaming mode.12-20-2012
20120323835DYNAMICALLY RECONFIGURING PREDICTIVE ANALYTICS WITHIN WORKFLOWS USING SELECTIVE USER FEEDBACK - Methods and arrangements for managing and enhancing workflow. A work item is accepted and the is routed from a first node to a second node based on a predictive analytics model. The predictive analytics model is validated, and is reconfigured responsive to the validating.12-20-2012
20120323834MODEL SELECTION DEVICE, MODEL SELECTION METHOD AND MODEL SELECTION PROGRAM - The model selection device comprises a model optimization unit which optimizes a model for a mixed distribution, wherein related to an information criterion of complete data, with respect to a hidden variable post-event distribution of the complete data, the model optimization unit optimizes an expected information criterion of the complete data for a pair of a model and a parameter of a component which satisfies a predetermined condition.12-20-2012
20120130934SMART SURVEY WITH PROGRESSIVE DISCOVERY - Embodiments of the invention collect data or information from a dynamic and adaptive target group selection. Sets of experts are selected that each have higher value metrics scores relative to scores of other, unselected experts of a population of known experts, and wherein the metric values are indicative of an expertise relevant to one or more questions in a survey. Responses to the survey are used to expand the set of experts by adding experts noted in answer referrals, and to automatically update the expert value metric scores as a function of response timeliness and of degrees of correlation of answers to an expected answer or other norm. The survey is updated by removing satisfied questions, and expert selections, answers analysis and survey updating and resending steps are iteratively repeated until each question is satisfied, wherein the expert sets are dynamically revised for each iteration.05-24-2012
20100169259Methods and systems for presenting an inhalation experience - Methods, computer program products, and systems are described that include accepting an indication of an individual's compliance with an artificial sensory experience and presenting an indication of an inhalation device-dispensed bioactive agent at least partially based on the indication of the individual's compliance with the artificial sensory experience.07-01-2010
20100169257TRANSPARENT PARALLELISM AMONG LINEAR SOLVERS - A model, which defines a mathematical problem, and multiple directives may be received. Each of the multiple directives may be mapped to a respective linear solver instance. The linear solver instances may be launched to execute in parallel. Each of the linear solver instances may use either a primal or a dual algorithm and may further use double arithmetic, exact arithmetic, or hybrid arithmetic, as specified by corresponding ones of the multiple directives. A linear solver instance that uses hybrid arithmetic may start by using double arithmetic and may use exact arithmetic after experiencing a numerical difficulty. After the numerical difficulty is resolved, the linear solver instance that uses hybrid arithmetic may restart and continue to solve the mathematical problem using double arithmetic. After one of the linear solver instances finds an optimal solution, others of the linear solver instances may be stopped and a report may be provided.07-01-2010
20100169258Scalable Parallel User Clustering in Discrete Time Window - Described is an internet user clustering technology, such as useful in behavioral targeting, in which users are clustered together based on MinHash computations that produce signatures corresponding to users' internet-related activities. In one aspect, users are clustered together based on commonality of signatures between each set of signatures associated with each user. The signature sets and/or clusters may be associated with timestamps, whereby clusters may be determined for a given discrete time window or set of discrete time windows. To facilitate efficient processing, existing, prior signature sets of a user may be incrementally updated (e.g., daily), and/or the MinHash computations for users are partitioned among parallel computing machines. The timestamps may be used to selectively determine a cluster within a continuous time, a time window or set of time windows.07-01-2010
20120278267METHODS AND ARRANGEMENTS FOR DYNAMICALLY GENERATING ESTIMATION TRENDLINES - Methods and arrangements for dynamic trendline generation. Input data are assimilated at a capture timepoint from an estimation tool. The input data are filtered, and an estimation-centric map is created from the filtered data ; this creating of a map includes generating an estimation data tree. A trendline is dynamically generated responsive to a request, wherein this generating of a trendline includes applying the estimation data tree to the input data. The dynamically generated trendline is supplied to the estimation tool.11-01-2012
20110258154CONTENT DURATION AND INTERACTION MONITORING TO AUTOMATE PRESENTATION OF MEDIA CONTENT IN A CHANNEL SHARING OF MEDIA CONTENT IN A CHANNEL - Disclosed are a method and system for content duration and interaction monitoring to automate presentation of media content in a channel sharing of media content in a channel. A method of generating a customized video channel comprises algorithmically generating in a computer a parameter based on an action of a web browser. In addition, the method algorithmically determines an association between the parameter and a video content, and updating a list of video content of the customized video channel with the video content. The method may also comprise algorithmically creating an additional parameter based on another action of another web browser, and algorithmically associating the additional parameter with another video content.10-20-2011
20120089548METHOD FOR SUPPORTING MIGRATION DESTINATION DECISION AND MANAGEMENT SYSTEM - Each time data is migrated, a management system stores information denoting a migration history related to the migration of the data, in history management information. The management system receives an input of an administrator-desired attribute condition combination for a migration-destination storage device, identifies all device attribute combinations conforming to this attribute condition combination, and calculates multiple migration trends based on each device attribute combination and the history management information. The management system identifies, from among the multiple migration trends, a migration trend to which a specified migration-source storage device belongs, and displays information denoting at least this identified migration trend.04-12-2012
20110276528INPUT DEVICE, INFORMATION PROCESSING DEVICE, INPUT METHOD, AND PROGRAM - When a detecting unit detects an operation of a key which is not included in a combination predicted by a prediction unit, an input control unit invalidates the operation of the key. Therefore, even if a user wrongly presses a key, the wrong pressing is invalidated, as a result key input intended by the user becomes smooth.11-10-2011
20120095948COHORT-BASED PREDICTION OF A FUTURE EVENT - A processor-implemented method, computer program product, and/or computer system predicts a future event. A first bit array, which describes characteristics of a single entity while experiencing a first event, is generated using values received from a set of physical test devices. After the first single entity experiences a different second event, a second bit array is generated from another set of physical test devices. The second bit array describes characteristics of an event cohort, which is made up of entities, other than the single entity, which also experience the second event, but which never experienced the first event. When another single entity experiences the first event, a determination is made as to whether that other single entity has characteristics from both the first bit array and the second bit array. If so, a prediction is made that the other single entity will also experience the second event.04-19-2012
20120095947VECTOR CLASSIFIER AND VECTOR CLASSIFICATION METHOD THEREOF - Provided is a vector classifier and a vector classification method. The vector classifier includes a vector compressor configured to compress an input vector; a support vector storage unit configured to store a compressed support vector; and a support vector machine operation unit configured to receive the compressed input vector and the compressed support vector and perform an arithmetic operation according to a classification determining equation.04-19-2012
20120330874APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM - The APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM (“DCM-Platform”) transforms digital dialogue from consumers, client demands and, Internet search inputs via DCM-Platform components into tradable digital assets, and client needs based artificial intelligence campaign plan outputs. In one implementation, The DCM-Platform may capture and examine conversations between individuals and artificial intelligence conversation agents. These agents may be viewed as assets. One can measure the value and performance of these agents by assessing their performance and ability to generate revenue from prolonging conversations and/or ability to effect sales through conversations with individuals.12-27-2012
20120101971STAGE EVALUATON OF A STATE MACHINE - The present invention provides a method and system for stage evaluation of a state machine model. Two types of transitions are used: first-stage transitions and second-stage transitions for a two-stage evaluation. In one embodiment, top-down processing and bottom-up processing may be combined using a two-stage evaluation. First-stage transitions are used with top-down processing while second-stage transitions are used with bottom-up processing. Certain conditions are used to determine if a switch from one type of stage processing to another type of stage processing is needed.04-26-2012
20100205131Predicting the Outcome of Events Based on Related Internet Activity - Particular embodiments of the present invention are directed to systems and methods for predicting the outcome of events based on internet activity associated with such events. For example, an internet activity metric associated with one or more events may be determined. The internet activity metric may be based at least on the popularity of particular search terms related to the events. The outcomes of the events may also be determined. The determined internet activity metrics and the outcomes of the one or more events may be analyzed to generate an algorithm for predicting the outcomes of subsequent events. For example, an internet activity metric associated with a particular subsequent event (e.g., based at least on the popularity of a particular search term related to the subsequent event) may be determined, and the algorithm may be applied to the internet activity metric to predict the outcome of the particular subsequent event.08-12-2010
20100198767SYSTEM AND METHOD FOR CREATING THEMATIC LISTENING EXPERIENCES IN A NETWORKED PEER MEDIA RECOMMENDATION ENVIRONMENT - Systems and methods for providing a thematic playback experience in a peer-to-peer media recommendation system are disclosed.08-05-2010
20130013547EVIDENCE PROFILING - Evidence profiling, in one aspect, may receive a candidate answer and supporting pieces of evidence. An evidence profile may be generated, the evidence profile communicating a degree to which the evidence supports the candidate answer as being correct. The evidence profile may provide dimensions of evidence, and each dimension may support or refute the candidate answer as being correct.01-10-2013
20130013546PROVIDING COMMUNITY FOR CUSTOMER QUESTIONS - A system for providing community for customer questions receives a customer question. The customer question may be classified into a classification from a plurality of classifications categorizing whether a question is answerable, needs expert assistance, needs more information, or is not answerable. Based on the classification and one or more incentives, the question may be further routed to an appropriate community. The interactions with a customer in receiving and answering the customer question may be recorded.01-10-2013
20130013545Providing Digital Content Based On Expected User Behavior - In a computing system, information regarding a plurality of events that use a computing device is obtained, and a time-dependant increase in activity for each of at least some of the events is identified. An observed interest by a user in an event is correlated with an identified increase in activity for the event. Information about the activity at a time related to the event is provided for review by the user.01-10-2013
20100131445METHOD OF DATA TRANSMISSION WITH DIFFERENTIAL DATA FUSION - A data processing method for communication for a network having a plurality of nodes and a data collection device is provided. First, one of the nodes is selected according to a schedule for overhearing a reference data transmitted by a reference node to the data collection device. Then, a predicted data is calculated by the selected node according to the reference data and a corresponding prediction module. Next, the predicted data is compared with an actual data captured by the selected node, and an error between the predicted data and the actual data is transmitted to the data collection device. The selected node needs not to transmit any data to the data collection device if there is no error between the predicted data and the actual data. Thereby, the quantity of data to be transmitted is greatly reduced, and accordingly problems caused by insufficient bandwidth of the network are avoided.05-27-2010
20130018834STATE MACHINE RESPONSIVE TO MEDIA SOURCESAANM Dal Lin Junior; Reynaldo AmadeuAACI CuritibaAACO BRAAGP Dal Lin Junior; Reynaldo Amadeu Curitiba BR - A state machine includes inputs configured to receive media signals from multiple media sources; state logic configured to respond to receipt of media signals by the inputs; and outputs configured to output logical states where each of the logical states calls for rendering of media from one of the multiple media sources. Various other examples of devices, assemblies, systems, methods, etc., are also disclosed.01-17-2013
20130018835100GBPS SECURITY AND SEARCH ARCHITECTURE USING PROGRAMMABLE INTELLIGENT SEARCH MEMORY - Programmable Intelligent Search Memory (PRISM) architecture provides capabilities for high performance content search. This architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules in the PRISM, action(s) associated with the matched rule(s) are taken. Content search rules comprise regular expressions which are converted to finite state automata and then programmed in PRISM for evaluating content with the search rules. PRISM architecture comprises of a plurality of PRISM clusters (PMC) which comprise a plurality of PRISM Search Engines. Groups of PMCs can be programmed with the same rules and used in parallel to apply these rules to multiple data streams simultaneously to achieve increased performance. PMC groups provide 10 Gbps performance with 10 PMC groups enabling 100 Gbps content search and security performance.01-17-2013
20110161271METHOD AND APPARATUS FOR AN ITINERARY PLANNER - A method and apparatus for providing an itinerary planner is described. The itinerary planner generates itineraries for visiting locations which are personalized to the user's preferences. Unknown conditions are handled by contingency plans that the itinerary planner generates in an anytime manner. The first itineraries are derived in a short time, and as more computation time is allowed, additional itineraries that better suit the preferences of the user are obtained.06-30-2011
20110161270SYSTEM AND METHOD FOR ANALYZING ELECTRONIC MESSAGE ACTIVITY - Systems and methods for analyzing electronic message activity are disclosed. An example method includes determining a relevancy ranking for each message in a received set of electronic messages, wherein the relevancy ranking indicates whether each message is relevant to a movie, determining an opinion expressed in each message, and computing a prediction of the success of the movie based on the determined opinion for each message.06-30-2011
20110161269METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR CONTEXT BASED TAGGING OF DATA - A method for enabling data interpretation includes receiving a plurality of data entries that are indicative of corresponding health care related events, determining an interest level rating for at least some of the data entries based at least in part on context information associated with a respective entity to which each data entry corresponds, and providing for presentation of selected data entries based on interest level rating. A corresponding computer program product and apparatus are also provided.06-30-2011
20130024412METHODS AND SYSTEMS FOR USING MAP-REDUCE FOR LARGE-SCALE ANALYSIS OF GRAPH-BASED DATA - Embodiments are described for a method for processing graph data by executing a Markov Clustering algorithm (MCL) to find clusters of vertices of the graph data, organizing the graph data by column by calculating a probability percentage for each column of a similarity matrix of the graph data to produce column data, generating a probability matrix of states of the column data, performing an expansion of the probability matrix by computing a power of the matrix using a Map-Reduce model executed in a processor-based computing device; and organizing the probability matrix into a set of sub-matrices to find the least amount of data needed for the Map-Reduce model given that two lines of data in the matrix are required to compute a single value for the power of the matrix. One of at least two strategies may be used to computing the power of the matrix (matrix square, M01-24-2013
20130024413NON-INTRUSIVE EVENT-DRIVEN PREDICTION - A method for non-intrusive event-driven prediction of a metric in a data processing environment is provided in the illustrative embodiments. At least one set of events is observed in the data processing environment, the set of events being generated by several processes executing in the data processing environment. A subset of the set of events are tracked for an observation period, the tracking resulting in bookkeeping information about the subset of events. A pattern of events is detected in the bookkeeping information. The pattern is formed as a tuple representing a process in the several processes, the metric corresponding to the process. A prediction model is selected for the tuple. The prediction model is supplied with the tuple and executed to generate a predicted value of the metric.01-24-2013
20130024411Discovery of Vegetation over the Earth (DOVE) - A system, apparatus and method for identifying states or types of individual objects within a class of objects of interest are provided. A supervised algorithm is executed on a set of map data to separate a class of objects of interest from other objects. An unsupervised algorithm is executed to identify different types or states of individual objects within the class of objects of interest identified by the supervised algorithm. The results are then stored on a non-transitory storage medium.01-24-2013
20090164405Online Sparse Matrix Gaussian Process Regression And Visual Applications - An online sparse matrix Gaussian process (OSMGP) uses online updates to provide an accurate and efficient regression for applications such as pose estimation and object tracking. A regression calculation module calculates a regression on a sequence of input images to generate output predictions based on a learned regression model. The regression model is efficiently updated by representing a covariance matrix of the regression model using a sparse matrix factor (e.g., a Cholesky factor). The sparse matrix factor is maintained and updated in real-time based on the output predictions. Hyperparameter optimization, variable reordering, and matrix downdating techniques can also be applied to further improve the accuracy and/or efficiency of the regression process.06-25-2009
20080256011Generalized reduced error logistic - The present disclosure is directed to a method for Generalized Reduced Error Logistic Regression (Generalized RELR). The method overcomes significant limitations in prior art logistic regression and non-generalized Reduced Error Logistic Regression (RELR) methods. The method is applicable to all current applications of logistic regression, but has significantly greater reliability and validity, using smaller sample sizes and large numbers of input variables, than prior art logistic regression methods. Further, unlike non-generalized RELR, the method of the present invention is not biased by the number of non-missing observations in independent variables. Rather, the method of the invention applies to repeated measures and multilevel designs. This Generalized RELR method also optimally scales solutions to achieve significantly greater accuracy than non-generalized RELR. This Generalized RELR method also automates variable selection to arrive at models with an optimal selection of variables. Variable selection features are not present in non-generalized RELR.10-16-2008
20080256010NEURAL NETWORKS WITHIN A NETWORK MANAGEMENT SYSTEM - Preferred embodiments of the invention provide systems and methods to observe one or more network elements associated with a network, receive an indication of an event relating to one or more network element configurations associated with the network, observe a potential outcome associated with the network, store the potential outcome such that the potential outcome is associated with the event, determine a probable outcome based on the potential outcome and store the probable outcome such that the probable outcome is associated with the event.10-16-2008
20080235173AUTONOMIC MANAGEMENT OF AUTONOMIC SYSTEMS - A method for the autonomic management of autonomic systems can include monitoring a managed system and recommending a course of action to be performed in the managed system. It can be determined whether the recommended course of action has been performed by an administrator. Responsive to the determination, it further can be determined whether an outcome from the course of action comports with a predicted outcome. If so, a point count can be changed responsive to a further determination that the outcome from the course of action comports with the predicted outcome. Conversely, the point count can be oppositely changed responsive to a further determination that the outcome from the course of action does not comports with the predicted outcome. In any case, when the point count crosses a threshold value, the management of the managed system can be transitioned to an adaptive component.09-25-2008
20080235171GENERAL FRAMEWORK FOR GRAPHICAL SIMULATIONS - A system is described that treats a solver as an ordered sequence of steps involving the different objects that have to be simulated and relationships between them. Tasks and the order of the tasks are obtained from each object and relationship. The tasks are merged into a sorted list. The solver traverses the list and passing each task to a corresponding object and relationship where the objects are interleaved during processing. The object or relationship then executes the task.09-25-2008
20110246406METHOD AND SYSTEM FOR CREATING A PREDICTIVE MODEL FOR TARGETING WEB-PAGE TO A SURFER - A system and a method for creating a predictive model to select an object from a group of objects that can be associated with a requested web-page, wherein a configuration of the requested web-page defines a subgroup of one or more selected objects from the group of objects. Each web-page can include one or more links to be associated with content objects from the group. For each content object presented over a requested web-page, one or more predictive model with relevant predictive factors is processed such that the predicted objective, the probability of success for example, is calculated. A success is defined as a surfer responding to the presented content according to the preferences of the site owner. Each predicted model can be associated with a key-performance indicator (KPI). Further, a predictive model can reflect the number of times the surfer requested the web page during the surfer's visit.10-06-2011
20110246405SYSTEM FOR ANIMAL HEALTH DIAGNOSIS - A diagnosis of the health of an animal is obtained through a combination of computerized data and human interpretation. Data relates to the physical characteristics of the animal, and includes data obtained from a physical inspection of the animal. A blood or other fluid sample is used to obtain a computer generated laboratory analysis. This is reported through an internet network to the clinical pathologist. The clinical pathologist has the data relating to the physical characteristics, and thereby makes a diagnosis of the animal health. A drop-down menu on a computer screen provides supplemental reports to support the diagnosis. This can be enhanced by further input from the pathologist through keyboard entry into the computer to obtain an integrated computer report having the laboratory analysis, supplemental report, and selectively an enhanced report. The integrated report is electronically communicated to a client.10-06-2011
20080222068Inferring Candidates that are Potentially Responsible for User-Perceptible Network Problems - Candidates that are potentially responsible for user-perceptible network problems may be inferred. In an example embodiment, a system includes an inference engine to produce a list of candidates that are potentially responsible for user-perceptible network problems, with the candidates being network components that may include both services and network elements. A response to a service request may be a non response, an incorrect response, an untimely correct response, or a timely correct response. The user-perceptible network problems may include the untimely correct response as well as the non response and the incorrect response. In another example embodiment, a method includes monitoring a network and producing a list of candidates that are potentially responsible for user-perceptible network problems. The candidates of the list may include both services and network elements of the monitored network.09-11-2008
20130144828MODIFICATION OF DESCRIPTION LOGIC EXPRESSIONS - A method, executed by a computer system, or altering a base expression associated with an ontology, the method including: 06-06-2013
20130144827SYSTEMS AND METHODS FOR SUPPORTING FERTILIZER DECISIONS - Systems and methods for supporting fertilizer decisions are provided. The systems and methods may be configured to receive data relating to the application of a liquid fertilizer to a field having a number of rows. The data may include at least one fertilizer characteristic and yield data relating to each row of the number of rows. The systems and methods may be configured to receive a request from a user to analyze the data. The systems and methods may be configured to compare the at least one fertilizer characteristic and the yield data for each row of the number of rows. The systems and methods may be configured to communicate the results of the comparison to the user.06-06-2013
20130144826PROCEDURE FOR DETERMINING THE PROBABILITY OF FINDING A PARKING PLACE - A procedure for determining the probability of finding a parking place within a certain period of time on a pre-set stretch of road of an area with a multiplicity of stretches of road. With this procedure, motion profiles are detected and statistically evaluated of users of radiolocation-aided, especially satellite-aided, navigation aids in the area. For each user a “parking place found” event is determined; the stretch of road in which the “parking place found” event occurred is detected; and the travel time is detected which the user expended in each of the stretches of the road until the “parking place found” event occurred. From the data thus acquired for a multiplicity of users, a probability is determined of finding a parking place within the set time span on the stretch of the road.06-06-2013
20130144825CALCULATING RISK ASSESSMENT VALUE OF EVENT SEQUENCE - Provided are a method, an apparatus and a computer program for calculating a risk assessment value for an event sequence, which are capable of calculating the risk assessment value of each even sequence by calculating a totally ordered set on the basis of a partially ordered set indicating the event sequence. The risk assessment value of an event sequence that is a partially ordered set indicating some events of an event group of M kinds of events (M is a finite natural number) in a time series. The partially ordered set is converted into an approximate totally ordered set, and an M-dimensional feature vector is calculated based on the totally ordered set obtained by the conversion. A projection matrix for calculating the risk assessment value is calculated using the calculated M-dimensional feature vector.06-06-2013
20130144824CALCULATING RISK ASSESSMENT VALUE OF EVENT SEQUENCE - Provided are a method, an apparatus and a computer program for calculating a risk assessment value for an event sequence, which are capable of calculating the risk assessment value of each even sequence by calculating a totally ordered set on the basis of a partially ordered set indicating the event sequence. The risk assessment value of an event sequence that is a partially ordered set indicating some events of an event group of M kinds of events (M is a finite natural number) in a time series. The partially ordered set is converted into an approximate totally ordered set, and an M-dimensional feature vector is calculated based on the totally ordered set obtained by the conversion. A projection matrix for calculating the risk assessment value is calculated using the calculated M-dimensional feature vector.06-06-2013
20130144823APPARATUS AND METHOD FOR EXTENDING A DEFAULT MODEL OF A TERMINAL - Provided are an apparatus and method for adding a variety of concepts to a default model by combining a linked model with the default model and linked data that is to be matched with the linked model. The apparatus may generate first relationship information about a relationship between a concept included in the default model and a concept included in the linked model and second relationship information about a relationship between a concept included in the linked model and a concept included in the linked data. The apparatus may combine the default model, the linked model, and the linked data, based on the first and second relationship information.06-06-2013
20130144822Predicting A User Behavior Number of a Word - The present disclosure introduces a method, an apparatus and memory of predicting a user behavior number of a word for reducing the amount and the complexity of operation, saving the consumption of the equipment, and improving the accuracy and reliability of predictions. In an embodiment, a historical data sequence of the user behavior number of a word is converted from a time domain to a frequency domain. Based on the converted frequency domain, each estimated cycle and its effect rate value of the historical data sequence are ascertained. If the historical data sequence is stable, an average value of user behavior numbers of some historical data points before a prediction point is calculated as a user behavior number of the prediction point. Otherwise, the user behavior number is calculated based on a selected main cycle and a selected singularity.06-06-2013
20130173518Simplifying Lexicon Creation in Hybrid Duplicate Detection and Inductive Classifier System - A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes.07-04-2013
20130173519Method and computer program product for providing a response to a statement of a user - A method for providing a response to a statement of a user, the method includes: receiving user input that comprises a portion of a user statement; selecting, before receiving a whole user statement, an answerable statement response between an answerable statement, multiple answerable statements and a response to an answerable statement; wherein the selecting is responsive to user input and to structured representations of answerable statements answerable by an answering entity; and sending to the user information representative of response to the user statement.07-04-2013
20130173520METHOD FOR PROVIDING WITH A SCORE AN OBJECT, AND DECISION-SUPPORT SYSTEM - The present invention is related to a method for providing with a score an object represented by a target item from a multidimensional space, said score being representative of the probability that the object satisfies a given binary property, said method being performed in a computer environment comprising processing means connected to memory means, comprising the following steps: (a) providing and storing in the memory means data representative of a set of sample items from said multidimensional space, each sample item being associated with a multi-value label representative of the probability that an object represented by said sample item satisfies the given binary property; (b) storing in the memory means data representative of the target item; (c) with said processing means, generating and storing in said memory means data representative of an oriented binary tree with a given height, said binary tree being defined by a plurality of nodes having index values in relation with their position in the binary tree, said nodes comprising a root node, intermediate nodes and terminal nodes, and each node being associated with a subspace of the multidimensional space according to the following rules: if the node is a root node, the associated subspace is the whole multidimensional subspace; if the node is a non-terminal node, its associated subspace is split into two disjoint subspaces ε07-04-2013
20130138594OPERATIONS MANAGEMENT APPARATUS, OPERATIONS MANAGEMENT SYSTEM, DATA PROCESSING METHOD, AND OPERATIONS MANAGEMENT PROGRAM - An operations management apparatus which acquires performance information for each of a plurality of performance items from a plurality of controlled units and manages operation of the controlled units includes 05-30-2013
20130091085INSIDER THREAT DETECTION DEVICE AND METHOD - The present invention relates to an insider threat detection device and method which collects and analyzes a variety of information generated by insiders working for an organization, such as behaviors, events, and states of the insider, and detects an abnormal insider who may become a potential threat. According to the present invention, the insider threat detection method and apparatus analyzes information related to insiders using the correlation analysis method, and previously detects an abnormal sign of an insider who may become a potential threat to an organization, which makes it possible to protect the organization from attacks on systems inside the organization or seizure of important information inside the organization.04-11-2013
20130179379Preceding-Vehicle Identifying Apparatus And Following-Distance Control Apparatus - The preceding vehicle identifying apparatus calculates an integrated probability of existence of a curved road ahead of an own vehicle based on at least two of the curvature of the curved road, the track of a vehicle running ahead of the own vehicle and the own vehicle' having entered the curved road. The preceding vehicle identifying apparatus further calculates an own-vehicle lane probability which is a probability that the vehicle is running in the same lane as an own-vehicle lane in which the own vehicle is running based on the distance between a predicted running line of the own vehicle and the track of the vehicle running ahead of the own vehicle, and compensates the calculated own-vehicle lane probability based on the integrated probability.07-11-2013
20130179380PREDICTION METHOD, PREDICTION SYSTEM AND PROGRAM - A method for predicting an output variable from explanatory values provided as sets of combinations of discrete variables and continuous variables includes receiving input data that contains the explanatory variables to predict the output variable; searching for each element in the combinations for elements in a plurality of sets with matching discrete variables using training data which the output variable has been observed; applying a function giving the degree of similarity between two sets weighed by a scale variable to each element in the input data, and to one or more elements found in the elements of the input data to calculate function values, and calculating the sum of the function values for all of the elements in the input data; and applying the calculated sum for each element to a prediction equation for predicting the output variable to calculate a prediction value of the output variable for each element.07-11-2013
20130179382VEHICLE WITH COMPUTING MEANS FOR MONITORING AND PREDICTING TRAFFIC PARTICIPANT OBJECTS - An anticipatory monitoring and prediction system can include methods for generating effective, accurate predictions of other traffic objects in the vicinity of an ego-car. The invention proposes to combine approximate probability distributions (ADPs) of agent states with Attractor Functions (AFs) for generating distributed probabilistic representations of the potential future states of the observed traffic objects. AFs are selected based on both the current road context, in which the ego-car is situated, and the current states of all participating objects. The generated predictions can be used to filter incoming sensory information for better object state estimations, rate the nature of the behavior of other traffic objects by comparing generated predictions with actual perceived sensor information, or infer accident likelihoods by comparing the predicted state distributions of objects and the ego-car. Warning and information signals or control commands can be issued in a driving assistance system.07-11-2013
20130179384MULTIPLE-PAIRS SHORTEST PATH FINDING METHOD AND SYSTEM - A method and system for solving shortest paths from multiple sources to multiple destinations faster. A method of solving the multiple-pairs shortest path problem is provided using processing by a computer having storage means. The method includes the steps of: (A) reading road network data S on multiple vertices as search starting points from a storage area of the computer; (B) reading road network data T on multiple vertices as search targets from the storage area of the computer; (C) selecting k vertices s07-11-2013
20130179385SYSTEMS AND METHODS FOR MAKING CONTEXTUAL RECOMMENDATIONS - A method and a system for making contextual recommendations to users on a network-based system. For example, a first and second related category are selected and a relationship score is calculated representing an aspect of the relationship between the first and second related categories. A relationship type is selected to represent the relationship between the first and second categories using the relationship score. The relationship type is one of either a complement or a substitute. A complement relationship indicates a complementary relationship between the first and second related categories. While a substitute relationship indicates a substitutionary relationship between the first and second categories. The relationship type is stored associated with the first and second related categories. Using the selected relationship type, a recommendation is provided to a user on the network-based system.07-11-2013
20130097109METHOD FOR DETERMINING A PREFERRED NODE IN A CLASSIFICATION AND REGRESSION TREE FOR USE IN A PREDICTIVE ANALYSIS - Techniques are described for determining what node of a classification and regression tree (CART) should be used by a predictive analysis application. A first approach is to use a standard deviation of the data at a given the level of the CART to determine whether data in the next, lower node is more consistent than the data in the current node. A second approach is to measure a correlation between data points in a given node and the time at which each point was sampled (or other correlation metric) to identify a preferred node.04-18-2013
20130103628USER ACTIVITY DASHBOARD FOR DEPICTING BEHAVIORS AND TUNING PERSONALIZED CONTENT GUIDANCE - User activity dashboards and methods for tuning recommendation models are provided herein. Exemplary methods may include exposing, to an end user device, a current preference model used by a recommendation engine to provide recommendations to the end user, receiving a modification to the current preference model, generating a modified preference model with the modification, and applying the modified preference model to generate recommendations for the end user that are more relevant than the recommendations provided using the current preference model.04-25-2013
20130124443VALIDATION OF LABORATORY TEST DATA - The present invention provides novel techniques for validating laboratory data values for properties of interest of products produced by a process system. In particular, samples of the product may be sent to a laboratory testing facility, where laboratory testing procedures may be used to obtain the laboratory data values for the property of interest. The laboratory data values may be sent to a control system which includes a laboratory data validation module. The laboratory data validation module may be capable of validating the laboratory data values of the property of interest by comparing the laboratory data values of the property of interest with predicted values generated by a model. The model may be created using inputs such as laboratory and measured data values of the property of interest as well as laboratory and measured data values of other properties of the product. In particular, the laboratory data validation module may, in certain embodiments, include a laboratory data validation model, which may aid the validation of the laboratory data values of the property of interest.05-16-2013
20130124445PRIORITIZING REPAIR OF BRIDGES AND BRIDGE SECTIONS - Embodiments of the invention are generally directed toward methods, systems, and computer-readable media for prioritizing bridge repairs. A bridge score is generated that represents various factors such as conditions, load issues, risk of failure, and importance. Repairs to bridges or bridge segments that pose a greater risk may be prioritized before repairs made to bridges posing a lower risk.05-16-2013
20130124444SERVICE MODELING IMPACT ANALYSIS - A computer system includes a plurality of computer processor dependent nodes and a plurality of computer processor antecedent nodes. Each node includes a severity value relating to an operational state of the node. A dependent node and an antecedent node pair include a significance value relating to a criticality that the antecedent node has to its paired dependent node. The antecedent node comprises a relevance value, wherein the relevance value is a function of the severity value of the antecedent node and the significance value for the antecedent node and the dependent node. The relevance value is used to determine an impact that the antecedent node has on the paired dependent node.05-16-2013
20130124442SYSTEM AND METHOD FOR PRECACHING INFORMATION ON A MOBILE DEVICE - A system and method for precaching information on a mobile device. A precaching strategy is built for a mobile device. The strategy defines a forecast of data types a user is predicted to request after the occurrence of one or more data refresh conditions. The precaching strategy is built by recognizing data usage patterns in data requested by the user or a group of users over a time period. The data usage pattern comprises data types and events that are correlated to the usage of the data. The events are used to define at least one refresh condition within the precaching strategy. The precaching strategy is executed. When the occurrence of the data refresh condition is detected, data is then retrieved from a data source, wherein the data is retrieved according to the precaching strategy. The retrieved data is transmitted to a user device cache.05-16-2013
20130124441METHOD AND SYSTEM FOR ELECTRIC VEHICLE ADOPTION SIMULATION WITH REASONING - A method and system for an agent-based evidential reasoning decision computer system for determining an adoption rate of a trend is provided. The system includes a plurality of nodes arranged in a tree structure. The plurality of nodes define an evidential reasoning algorithm where lower level nodes receive factors to be considered in the decision and each node assigns a likelihood of an outcome of the received factors, and generates an output to a subsequent higher level node or root of the tree structure. The system also includes a plurality of agent models organized in a hierarchical structure, each agent model comprising a respective set of the plurality of nodes and an output of the agent model, each agent model representing a member of a population, and an aggregator algorithm configured to combine the outputs of the plurality of agent models to generate an output representing an adoption rate.05-16-2013
20130132317POWER PROVISION BASED ON SELF-SACRIFICING CRAFT - A biologically-inspired system and method is provided for self-adapting behavior of swarm-based exploration missions, whereby individual components, for example, spacecraft, in the system can sacrifice themselves for the greater good of the entire system. The self-sacrifice can involve donating resources or assets, such as power provisions, to a different component of an autonomous system. A receiving component of the system can benefit from receiving the donated resource or power provision.05-23-2013
20130132321GENERAL MARKET PREDICTION USING POSITION SPECIFICATION LANGUAGE - Methods evaluating propositions about timeseries are provided. A service accepts a proposition about one or more timeseries, and the service monitors those timeseries. A proposition can reference multiple timeseries with different time intervals and different units. When new data is available, the service evaluates the proposition to determine if the proposition is true, false, or neither. The service automatically performs unit conversions and selects relevant, previously observed values before evaluating a proposition when new data is available.05-23-2013
20130179387Analytical Generator of Key Performance Indicators For Pivoting On Metrics For Comprehensive Visualizations - A process context analyzer of an industrial process allows the flexibility of a client to customize process data that is captured, which can allow data capture to encompass a larger hierarchy of an enterprise or lower subset of a hierarchy with a requisite need for customization to match its architecture. Although analytics can be readily accessed for fixed context for which key performance indicators (KPIs) visualizations are defined, an opportunity for addressing abnormal operation or non-optimal performance is addressed by brining enhanced analytics that benefit from recognizing attributes of the flexible context. Thereby, requested calculated tags can be supplied, as well as offering a return on investment increase by pattern recognition of time frame dependent or ambient condition dependent variations in the flexible context.07-11-2013
20130179386INNOVATION EXPERT SYSTEM, IES, AND ITS PTR DATA STRUCTURE, PTR-DS - The claimed Innovation Expert System, IES, and for a given innovation/invention the claimed Data Structure DS—structurally being the same for any innovation/invention—meet two kinds of functional requirements. They support: 07-11-2013
20130179383SYSTEM AND METHOD FOR MANAGING ELECTRIFIED PARKING SPACE UTILIZATION - The present disclosure provides systems and methods directed to managing parking space utilization and, more particularly, to maintaining a usage record and controlling access to on-street and other public charging spaces for electric vehicles, plug-in hybrid electric vehicles and other vehicle types, such as high efficiency fuel powered vehicles, for which preferential parking may be desirable.07-11-2013
20130179381FREQUENT PATTERN EXTRACTION APPARATUS FREQUENT PATTERN EXTRACTION METHOD AND PROGRAM - There is provided a frequent pattern extraction apparatus. In the apparatus, time series data for an item operation is divided into a plurality of item operation sets. Using a set degree of similarity between the item operation sets, an abstract item operation set is generated. A pattern of sequences that frequently appear is extracted from the sequences in the abstract item operation set. Using the pattern of sequences that frequently appear, an item as well as an item operation are recommended to a user.07-11-2013
20130179378Knowledge Reasoning Method of Boolean Satisfiability (SAT) - Disclosed is a knowledge reasoning method for solving Boolean Satisfiability problems. This method is one of the applications of the method disclosed in the US patent “Knowledge Acquisition and Retrieval Apparatus and Method” (U.S. Pat. No. 6,611,841). Disclosed method applies learning function to access iterative set relations among variables, literals, words and clauses as knowledge; And applies deduction and reduction functions to retrieve relations as reasoning. The process is a knowledge learning (KL) and knowledge reasoning algorithm (KRA). KRA abandons the “OR” operation of Boolean logic and processes only set relations of the data. The novelty of the disclosed method is the reversibility between the deduction and reduction. That is, KRA of Boolean Satisfiability applies a pair of perceptual-conceptual languages to learn member-class relations and retrieve information through deductive and reductive reasoning.07-11-2013
20080201287Dissimilar item recommendation method, device, and program thereof - Recommendation method and device for selectively and by priority recommending to the user an item assumed highly unexpected to the user. A user accesses an item A using the selector unit of a client, and accesses an item B in a time period within a specified threshold, moreover when there is a low degree of similarity between item A and item B, a server forms A and B into a pair (A,B) and stores it in a neighboring selective item pair database. When another user accesses an item similar to A, then an item Y similar to item A or item B is recommended to the client unit by using the pair (A, B) recorded in the neighboring selective item pair database.08-21-2008
20080201286Methods, Architecture, and Apparatus for Implementing Machine Intelligence and Hierarchical Memory Systems - Sophisticated memory systems and intelligent machines may be constructed by creating an active memory system with a hierarchical architecture. Specifically, a system may comprise a plurality of individual cortical processing units arranged into a hierarchical structure. Each individual cortical processing unit receives a sequence of patterns as input. Each cortical processing unit processes the received input sequence of patterns using a memory containing previously encountered sequences with structure and outputs another pattern. As several input sequences are processed by a cortical processing unit, it will therefore generate a sequence of patterns on its output. The sequence of patterns on its output may be passed as an input to one or more cortical processing units in next higher layer of the hierarchy. A lowest layer of cortical processing units may receive sensory input from the outside world. The sensory input also comprises a sequence of patterns.08-21-2008
20110231355INTELLIGENT UBIQUITOUS-CITY MIDDLEWARE APPARATUS AND THE U-CITY SYSTEM HAVING THE SAME - An intelligent U-City middleware apparatus and the U-City adopting the same are disclosed. The intelligent U-City middleware apparatus provides intelligent service based on context-awareness and a variety of intelligent ubiquitous convergence services for the applications of U-City. It is composed of four layers: Common Device Interface Layer, Context-aware Computing Layer, Ubiquitous Core Computing Layer and Common Application Interface Layer. The layers cooperate to give intelligent ubiquitous convergence services and provide the advantages of layered architecture.09-22-2011
20100287129SYSTEM, METHOD, OR APPARATUS RELATING TO CATEGORIZING OR SELECTING POTENTIAL SEARCH RESULTS - Embodiments of methods, apparatuses, devices and systems associated with categorizing or selecting potential search engine results are disclosed.11-11-2010
20130151452Systems and Methods for Identifying Drug Targets Using Biological Networks - Certain embodiments of the invention may include systems and methods for identifying drug targets using biological networks. According to an example embodiment of the invention, a method is provided for predicting the effects of drug targets on treating a disease. The method can include constructing a structure of a Bayesian network based at least in part on knowledge of drug inhibiting effects on a disease; associating a set of parameters with the constructed Bayesian network; determining values of a joint probability distribution of the Bayesian network via an automatic procedure; deriving a mean Bayesian network with one or more averaged parameters based at least in part on the joint probability values; and calculating a quantitative prediction based at least in part on the mean Bayesian network.06-13-2013
20130151453REAL-TIME PREDICTIVE INTELLIGENCE PLATFORM - A real-time predictive intelligence platform comprises: receiving from a user through a meta API definitions for predictive intelligence (PI) artifacts that describe a domain of an online transaction system for least one business entity, each of the PI artifacts including types, component modules and behavior bundles; exposing an entity API based on the PI artifacts for receiving entity events from the online transaction system comprising records of interactions and transactions between customers and the online transaction system; responsive to receiving an entity event through the entity API, executing the component modules and behavior bundles to analyze relationships found between past entity events and metrics associated with the past entity events, and computing a probabilistic prediction and/or a score, which is then returned to the online transaction system in real-time; and processing entity event replicas using modified versions of the PI artifacts for experimentation.06-13-2013
20130151454Weather comfort forecasting for riders of motorcycles and other exposed-rider vehicles - A method for predicting and reporting rider comfort on exposed-rider vehicles uses weather report data and riding speeds to calculate an effective temperature. Personal preferences may also be set and considered to provide predictive information and recommendations particular to sensibilities of individual riders. This method may be used as an aid to planning ride times, durations, and wardrobe choices as a function of time of day and planned riding speeds.06-13-2013
20130151455SYSTEM AND METHOD FOR NETWORKED DECISION MAKING SUPPORT - The present invention provides systems and methods for decision making support. The decision making support can be used, for example, for help desk troubleshooting, medical diagnosis, financial planning, and expert device. The decision support system of the invention includes a processor and a memory having a decision support program module, a phase dictionary, one or more solution nodes and optionally a topic identification information module. The decision support module is configured to enable the processor to receive a problem constraint and one or more user-specified phrases, which are then used to search nodes in a solution domain to identify a set of nodes potentially related to the user's problem or question. The set of nodes potentially related to the user's problem or question are ranked and displayed. Methods to determine potential solution nodes and to update solution nodes within the decision support system are provided.06-13-2013
20130132320INNOVATION EXPERT SYSTEM, IES, AND ITS PTR DATA STRUCTURE, PTR-DS - The claimed Innovation Expert System, IES, and for a given innovation/invention the claimed Data Structure DS—structurally being the same for any innovation/invention—meet two kinds of functional requirements. They support:05-23-2013
20130132316Substructure and Boundary Modeling for Continuous Action Recognition - Embodiments of the present invention include systems and methods for improved state space modeling (SSM) comprising two added layers to model the substructure transition dynamics and action duration distribution. In embodiments, the first layer represents a substructure transition model that encodes the sparse and global temporal transition probability. In embodiments, the second layer models the action boundary characteristics by injecting discriminative information into a logistic duration model such that transition boundaries between successive actions can be located more accurately; thus, the second layer exploits discriminative information to discover action boundaries adaptively.05-23-2013
20130132319HEALTH AND FITNESS MANAGEMENT SYSTEM - A health and fitness management system is provided that has a health and fitness application operating, e.g., on a smart phone, that can wirelessly communicate with an activity module worn on the user which has an accelerometer. The application accepts food and weight inputs (e.g., from the smart phone) and user activity units (e.g., from the activity unit) and develops a user intrinsic metabolism. The application includes fitness arc and health quotient graphical indicators that guide the user on health and fitness activities.05-23-2013
20130132318Methods and Systems for Collaborative Formulation and Solution of Problems - Methods and systems for computationally solving problems are disclosed. A problem can be specified using a computing device. The problem can include at least an initial state and a plurality of operators. Each operator of the plurality of operators can be configured to transform an input state to an output state. The computing device can set a current state of the problem to the initial state. The computing device can generate a display of at least the current state and at least one operator of the plurality of operators. The computing device can receive an input specifying a first operator of the plurality of operators. After receiving the input, the computing device can use the first operator to transform the current state to a transformed state. The computing device can store the transformed state.05-23-2013
20090138422Methods for making collective decisions independent of irrelevant alternatives - Methods for making collective decisions independent of irrelevant alternatives. A preferred alternative found, using weighted preference lists while restricting the impact of spoilers, is considered as Independent Collective Choice. If a list is required, it is added to an ordered list of Independent Collective Choices and removed from weighted lists, and finding, adding, and removing are repeated. When selection of a plurality of alternatives with proportional representation is required, the lowest ranked alternative in an Independent Collective Choice Ordered List is removed to find the alternatives with predetermined quota. Some embodiments apply collective choice procedures repeatedly to select the highest ranked alternative, compare the outcomes before and after the removal of alternative combinations, and use the selection of Independent Collective Choice recursively and iteratively when selecting highest or lowest ranked alternatives. Various embodiments can be in decision making systems including humans and machines for selection, sorting, and prediction problems.05-28-2009
20100318485INFORMATION DISTRIBUTION APPARATUS, INFORMATION DISTRIBUTION SYSTEM, METHOD AND PROGRAM - An information distribution system which can distribute information efficiently. The information distribution apparatus (12-16-2010
20130159234CONTEXT ACTIVITY TRACKING FOR RECOMMENDING ACTIVITIES THROUGH MOBILE ELECTRONIC TERMINALS - A mobile electronic terminal includes a context-activity tracking module, a recommendation module, and a user interface. The context-activity tracking module detects defined contexts, identifies associations between occurrence of the contexts and activities performed by a user of the mobile electronic terminal, and records information in a context-activity repository identifying the associations. The recommendation module identifies a present occurrence of a context that is associated with a previous performance of at least one activity identified by the information in the context-activity repository, and generates a recommendation for the at least one activity that can be performed by the user. The user interface communicates the recommendation for the at least one activity to the user, and to receive an activation response from the user. Related context activity repository nodes and methods by a mobile electronic terminal are disclosed.06-20-2013
20130159235Methods and Systems For Investigation of Compositions of Ontological Subjects - Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations.06-20-2013
20130185239Accelerated Decision Tree Execution - A method for accelerated decision tree execution in a processor of a digital system is provided that includes receiving at least some attribute values of a plurality of attribute values of a query for the decision tree in a pre-processing component, evaluating the received attribute values in the pre-processing component according to first early termination conditions corresponding to a first decision to determine whether or not the received attribute values fulfill first early termination conditions, and querying the decision tree with the plurality of attribute values when the received attribute values do not fulfill the first early termination conditions.07-18-2013
20090192962INTELLIGENT THREAT ASSESSMENT MODULE, METHOD AND SYSTEM FOR SPACE SITUATIONAL AWARENESS SYSTEM - Threat assessment modules are disclosed that intelligently review evidence of potential threats posed by detected objects within a region of exo-atmospheric space and generate a most probable threat scenario to facilitate administration of counterspace operations.07-30-2009
20130191313METHODS AND SYSTEMS FOR AUTOMATING CARBON FOOTPRINTING - Methods and systems for automating carbon footprinting are disclosed. In some embodiments, the methods include the following: obtaining data related to predetermined resources associated with an item from predetermined data sources; calculating estimated emission factors for each of the resources; determining a contributory uncertainty of the data and of the emission factors; guiding a user based on a comparison of the respective contributory uncertainty of data related to the resources or emission factors; and utilizing both data related to the resources and the estimated emission factors of the resources to determine a carbon footprint of the item.07-25-2013
20130191315METHOD OF DYNAMIC MODELING OF THE WORKFLOW, WITH THE USE OF INFORMATION SYSTEM - The method of dynamic modeling of workflow, with the use of information system is characterized in that, the analysis of workflow processes, the effect of which is procedures, is performed automatically by information system, in such a way, that on the basis of information, as obtained from the systems users during daily work, all actions taken by the users are registered, including the history of changes in each case, and then registered in this way flow of information between the persons and stages in every procedure is subjected to the automatic analysis, as a result of which the procedure diagrams are created with definable level of detail, that in the case of users behavior change are updated instantly, and in addition for prediction of user's behavior on the basis of taken by them decisions during the handing over cases, and the changes of the case stages, as well as all available information, classifiers and vector representations of the text content are automatically created, which are then used to suggest decisions concerning the next stage of procedure, as well as the next user, which should receive the case on the basis of information about current user, present stage, previous stages, previous user, text contents as well as the metadata (additional attributes of given case) and also on the basis of the text content of new case, recognized and suggested is a procedure, according to which the given case should be carried on.07-25-2013
20120290522News Topic-Interest-Based Recommendations Twiddling - A method includes: obtaining first click distribution data for a first subset of a plurality of media items, each of which is associated with one or more item categories, determining from the first click distribution data likelihood of a generic user selecting media items associated with at least a subset of the item categories, obtaining second click distribution data from a particular user for a second subset of the plurality of media items, determining, based on differences between the first and second click distribution data, an adjusted likelihood of the particular user selecting media items associated with the at least a subset of the item categories, and transmitting, based on the adjusted likelihood, to a client device associated with the particular user recommendations related to a third subset of the plurality of media items and respective item categories thereof.11-15-2012
20120030159Recommender Systems and Methods - A system and method of providing personalized item recommendations in a communication system comprising a server and a plurality of client devices. At the server, a plurality of user rating vectors are received from a plurality of client devices and aggregated into a rating matrix that is factorized into a user feature matrix and an item feature matrix, with the product of the user feature and item feature matrixes approximating the user rating matrix. The factorization comprises the steps of the ALS1 or the IALS1 algorithm including: initializing the user feature matrix and the item feature matrix with predefined initial values; alternately optimizing the user feature matrix and the item feature matrix until a termination condition is met. The item feature matrix is transmitted from the server to at least one client device, and a predictive rating vector is generated as the product of the associated user feature vector and the item feature matrix. At least one item is selected for recommendation to a user from the items associated with the predictive rating vector.02-02-2012
20130198124METHOD AND SYSTEM FOR MULTI-IED EVENT ZONE IDENTIFICATION IN AN ELECTRICAL GRID - A method of identifying at least one event zone subject to an event in a substation environment of an electrical grid. Thereby, data from multiple intelligent electronic devices can be synthesized in real-time whereby an operator can be presented with a single conclusion describing the event attributes thereby helping the operator to determine the mitigation actions as needed. The method includes receiving first event related data from the intelligent electronic devices, and based on the first event related data, determining whether the at least one monitoring zone subject to the event is a primary monitoring zone of at least one of the intelligent electronic devices or a non-primary monitoring zone for all of the intelligent electronic devices using ensemble decision making and probabilistic methods. It is also presented a system for carrying out the method.08-01-2013
20130198123HIERARCHICAL INFORMATION EXTRACTION USING DOCUMENT SEGMENTATION AND OPTICAL CHARACTER RECOGNITION CORRECTION - Systems, methods, and media for extracting and processing entity data included in an electronic document are provided herein. Methods may include executing one or more extractors to extract entity data within an electronic document based upon an extraction model for the document, selecting extracted entity data via one or more experts, each of the experts applying at least one business rule to organize at least a portion of the selected entity data into a desired format, and providing the organized entity data for use by an end user.08-01-2013
20130198126SYSTEM AND METHOD FOR PRIORITIZING RESUMES BASED ON A JOB DESCRIPTION - A method for prioritizing one or more of resumes based on a job description is provided. The method includes (i) processing the job description to extract one or more keywords and a first period, (ii) extracting, from a first resume and a second resume of the one or more resumes, one or more section, one or more events, a first date range, and a second date range, (iii) obtaining a second period and a third period, (iv) comparing, is the first resume and the second resume, the one or more keywords with the one or more events and the first period with the third period to obtain a relevant event and a relevant section, (v) computing a first weight for the first resume and a second weight for the second resume, and (vi) prioritizing the first resume and the second resume based on the first weight and the second weight.08-01-2013
20130198125SYSTEMS, METHODS, AND ARTICLES OF MANUFACTURE TO MEASURE ONLINE AUDIENCES - Methods and apparatus to monitor media content at a content display site are described. An example method includes obtaining panelist data corresponding to a plurality of panelists accessing web pages at measured locations, classifying the panelist data according to demographic information of the panelists, generating a virtual panel based on an estimate of web page access at unmeasured locations, and classifying page view data associated with the unmeasured locations based on data corresponding to the virtual panel.08-01-2013
20130103629Automated Entity Identification for Efficient Profiling in an Event Probability Prediction System - A computer-implemented method and system for automated entity identification for efficient profiling in an event probability prediction system. A first subset of entities belonging to one or more entity classes is defined. At least one historical profile is constructed for each entity in the subset of entities based on a set of possible outcomes of transaction behavior of each entity in the first subset of entities. Based on the historical profiles, a second subset of entities having transaction behavior associated with a transaction is selected, the transaction behavior being predictive of at least one targeted outcome from the set of possible outcomes. The first subset of entities is redefined with the second subset of entities.04-25-2013
20130204827INTERNAL ABNORMALITY DIAGNOSIS METHOD, INTERNAL ABNORMALITY DIAGNOSIS SYSTEM, AND DECISION TREE GENERATION METHOD FOR INTERNAL ABNORMALITY DIAGNOSIS OF OIL-FILLED ELECTRIC APPARATUS UTILIZING GAS CONCENTRATION IN OIL - An object is to provide an internal abnormality diagnosis method, an internal abnormality diagnosis system and a decision tree generation method for internal abnormality diagnosis of an oil-filled electric apparatus utilizing gas concentration in oil and having a diagnostic accuracy equal to or higher than that of a diagnostic specialist having reached a certain level. The present invention provides a method for generating a decision tree for determining the type of an internal abnormality of an oil-filled electric apparatus using a computer. In the decision tree generation method, the computer generates a standardized data group by converting concentrations of a plurality of gas species dissolved in an insulating oil in an oil-filled electric apparatus into ratios for each abnormality case, generates a discretized data group by converting the ratios of the concentrations of the gas species, the ratios constituting the standardized data group, into a plurality of discretized attributes using predetermined thresholds which are set for the respective gas species, and generates a decision tree for determining the type of an internal abnormality of the oil-filled electric apparatus by analysis using specific formulae on the basis of the discretized data group.08-08-2013
20130204823TOOLS AND METHODS FOR DETERMINING RELATIONSHIP VALUES - System, apparatus, and methods for profiling constituents of an organization. These constituents may include donors, volunteers, supporters, advocates, stakeholders, affiliates, customers, employees, managers, executives, advisors, regulators, vendors, suppliers, partners, contractors, beneficiaries, friends, followers, or fans of any organization. In one implementation, the relationship of constituents to an organization is determined. The system, apparatus, and methods may store characteristics describing constituents generally, along with metrics relevant to an organization; receive a plurality of data items; extract information associated with the constituents from the data items; determine a number of relationships between the data items, constituents, metric, and characteristics; and use the relationships to determine an overall relationship between the constituents and the organization, based on the data and characteristics. In addition, related groups of characteristics may be identified. Similarly, the relationships between any constituent, organization, metric, sub-metric, group of characteristics, data item, data source, characteristic, or groups thereof may also be determined.08-08-2013
20130204824System and Method to Uplink Data to the Flight Deck of an Aircraft - A system, method and computer readable storage medium for generating predictive analysis and alert information, displaying the predictive analysis and alert information to a user on the ground, receiving, from the user, a selection of categories of the predictive analysis and alert information, formatting a message including the predictive analysis and alert information corresponding to the selected categories and transmitting the message to a flight deck of an aircraft.08-08-2013
20130204825Content Based Recommendation System - A media control system enables a device-agnostic and source-agnostic entertainment experience through use of an internet-enabled user device. The user device includes a client application for navigating through media or entertainment content, controlling media devices according to a type of media content selected by the user, and sharing media experiences via social networks. The user device includes smartphones, tablet computers, and other internet-enabled processor-based devices. The media control system leverages the internet access of the user device to enable search and discovery of all available media content. A recommendation engine coupled to the client application learns media preferences from user behavior, generates from numerous disparate media sources recommended media choices corresponding to the media preferences, and presents the recommended media choices on the user device.08-08-2013
20130204826SYSTEM AND METHOD FOR IDENTIFICATION OF SIMILAR EVENTS USING DATA AND CHARACTERISTICS - A similar event algorithm is used to compare a user specified event to a large historical binary gridded database of historical data, and identify similar events within the database. The user specified event input data is converted into a binary data format. The historical binary gridded database also is in a binary data format, such that the data is machine-readable. A similar event dataset is generated with similar events ranked according to the algorithm.08-08-2013
20130204821Computer hardware and software diagnostic and report system incorporating an expert system and agents - The diagnostic and report system tests computer systems for defects that are able to cause performance and functional problems. An agent application is first installed on a user's system. The agent application then retrieves problem data from the expert system library pertinent to the user's operating environment. The agent application tests the user's system for each problem description within a downloaded data structure from the expert system library. If a problem is discovered, a script attempts to remediate the problem and/or notifies the user, describing the issue. The agent application utilizes discrete programs and/or scripts to send data to a knowledge base so that the knowledge base is able to generate new discrete programs and/or scripts using artificial intelligence which are sent to the expert system library. With additional discrete programs and/or scripts, the user's system is better protected.08-08-2013
20130204822TOOLS AND METHODS FOR DETERMINING RELATIONSHIP VALUES - Systems, apparatus, and methods for correlating two items of interest, based on a plurality of data items and characteristics. The data items may include objective and quantitative data, as well as subjective and qualitative data. In one implementation, the relationship of an individual to a metric is determined. The system, apparatus, and methods may store characteristics describing individuals generally, along with metrics relevant to an organization; receive a plurality of data items; extract information associated with the individual from the data items; determine a number of relationships between the data items, individuals, metric, and characteristics; and use the relationships to determine an overall relationship between the individual and the metric, based on the data and characteristics. In addition, related groups of characteristics may be identified. Similarly, the relationships between any individual, metric, sub-metric, group of characteristics, data item, data source, characteristic, or groups thereof may also be determined.08-08-2013
20130212056MEDICAL DIAGNOSIS SUPPORT APPARATUS AND METHOD OF CONTROLLING THE SAME - A medical diagnosis support apparatus is provided. In the medical diagnosis support apparatus, an acquisition unit acquires medical information associated with a diagnosis target as input information. An inference unit infers a diagnosis name of the diagnosis target based on the acquired input information. A calculation unit calculates the influence rate of each input information with respect to each inference. A creation unit creates a report sentence based on the calculated influence rate.08-15-2013
20130212055SYSTEM AND METHOD FOR THE AUTOMATIC PUBLICATION OF UPDATED STATUS INFORMATION OF A USER IN A COMPUTER APPLICATION - Disclosed is a system and a method for the automatic publication of status information of a user in a computer application by the automatic generation by artificial intelligence of inferred information from the environment information obtained by a mobile terminal of the user.08-15-2013

Patent applications in class Knowledge representation and reasoning technique

Patent applications in all subclasses Knowledge representation and reasoning technique