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706 - Data processing: artificial intelligence

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20100088259METHOD FOR SELECTING INFORMATION - In the method of the invention, information is selected in a processing unit. The end result to be achieved is final feature information to be used for performing a task. In the method, input information to the processing unit is treated with the intention to find useful information from the input information in view of the task. The input information consists of a primary input and a context representing general information related to the task to be performed. Feature information representing characteristics of the input information is formed from the input data, the values of the feature information being further processed on the basis of their utility. The method is mainly characterized in that a preliminary prediction is formed from a first context of a set of input information by means of first parameters and in that the first primary input of the set of input data is preprocessed by forming calculation results by means of second parameters. The utility of the information resulting from the foregoing steps is estimated by combining said prediction and the calculation results in such a way that useful characteristics are selected from the calculation results on the basis of the prediction and the feature information is formed by strengthening useful characteristics and by weakening other characteristics. Then, the second parameters are modified in such a way that the step, wherein the primary input data was preprocesed, would have given the calculation results corresponding to the feature information obtained in the estimation step. Thereafter, a subsequent context of a set of input data and subsequent primary data are processed and the foregoing steps are repeated for each element of input information in order to end up with the final feature information.04-08-2010
20110196817MOTOR VEHICLE ACCELERATION DETERMINING SYSTEM - Systems and methods for analyzing acceleration as a road segment characteristic in a vehicle are provided for determining information about a route including for example, the estimated fuel consumption of the route. An example of a system includes a data storage medium for storing map data having road segments, a bus interface to a data bus for receiving measured values of a velocity or an acceleration from a velocity or acceleration sensor, a position data receiver configured to receive position data for determining a current position, and a system controller. The system controller is configured to identify a road segment associated with the current position. The system controller retrieves parameters of a probability distribution of acceleration associated with the identified road segment from the data storage medium. Updated parameters of the probability distribution of acceleration are determined from the measured values of the velocity or acceleration.08-11-2011
20100076914CLASSIFICATION AND POLICY MANAGEMENT FOR SOFTWARE COMPONENTS - A method, system, and computer usable program product for classification and policy management for software components are provided in the illustrative embodiments. A metadata associated with an application or component is identified. A mapping determination is made whether the metadata maps to a classification in a set of classifications. A policy that is applicable to the classification is identified and associated with the classification. If the mapping determination is deterministic, the component is assigned to the classification and the policy associated with the classification is associated with the component. If the mapping determination is not deterministic, a user intervention may be necessary, the component may be classified in a default classification, or both. Because of the policy being associated with the classification, associating the policy with the component may occur based on the metadata of the application or component and its resultant classification.03-25-2010
20130080361AUTONOMIC AND APOPTOTIC, AERONAUTICAL AND AEROSPACE SYSTEMS, AND CONTROLLING SCIENTIFIC DATA GENERATED THEREFROM - A self-managing system that uses autonomy and autonomicity is provided with the self-* property of autopoiesis (self-creation). In the event of an agent in the system self-destructing, autopoiesis auto-generates a replacement. A self-esteem reward scheme is also provided and can be used for autonomic agents, based on their performance and trust. Art agent with greater self-esteem may clone at a greater rate compared to the rate of an agent with lower self-esteem. A self-managing system is provided for a high volume of distributed autonomic/self-managing mobile agents, and autonomic adhesion is used to attract similar agents together or to repel dissimilar agents from an event horizon. An apoptotic system is also provided that accords an “expiry date” to data and digital objects, for example, that are available on the internet, which finds usefulness not only in general but also for controlling the loaning and use of space scientific data.03-28-2013
20130080360AUTONOMIC AND APOPTOPIC SYSTEMS IN COMPUTING, ROBOTICS, AND SECURITY - Autonomic computing, robotics, and security devices, systems, and methods are provided. Agents of the system can communicate with one another and can self-destruct under event conditions that would render the agent detrimental to the overall system.03-28-2013
20130041857SYSTEM AND METHOD FOR INPUTTING TEXT INTO ELECTRONIC DEVICES - The present invention relates generally to a system and method for the reordering of text predictions. More particularly, the system and method reorders the text predictions based on modified probability values, wherein the probability values are modified according to the likelihood that a given text prediction will occur in the text inputted by a user.02-14-2013
20090307163VIRTUAL MEASURING DEVICE AND METHOD - A virtual measuring device and a method for measuring the deposition thickness of amorphous silicon being deposited on a substrate is disclosed, where the method of measuring the deposition thickness of amorphous silicon includes predicting and adapting operations. In the predicting operation, during a process of depositing the amorphous silicon to a substrate, the deposition thickness is predicted by multiplying a predicted deposition speed to a deposition time by using a prediction model expressing a relationship between a deposition speed and a plurality of process factors that are correlated with the deposition speed obtained from the deposition thickness and the deposition time, and the predicted deposition thickness is compared with the measured deposition thickness, so that the relationship between the plurality of process factors and the deposition speed in the prediction model is compensated according to the comparison difference.12-10-2009
20090299927INTEGRATED METHOD OF ENSURING INSTANT MESSAGING SECURITY ON CONFIDENTIAL SUBJECT MATTER - An instant messaging system for securing chat sessions containing confidential subject matter during instant messaging from external entities, the system comprising: a rules engine module configured to continuously build and update a set of rules used to determine when a chat session between a first chat party and a second chat party during an instant messaging session contains confidential or uniquely classified subject matter by loading at least one default rules or previous session rules and enabling a user to provide user-defined rules until the instant message session is ended; and an instant messaging module configured to secure the contents in the chat session based on pre-defined user settings, the contents in the chat session being secured when the contents in the chat session is determined to contain confidential subject matter derived from the set of rules, the chat session is further secured by limiting the exposure of the contents in the chat session to third parties when the chat session is determined to contain confidential subject matter while enabling the first chat party and the second chat party to view the contents in the chat session.12-03-2009
20130066819ADAPTIVE RECOMMENDATION SYSTEM - A recommendation system for optimizing content recommendation lists is disclosed. The system dynamically tracks a list interaction history of a user, which details that user's interactions with a plurality of different lists presenting different recommended items to that user. The system automatically correlates one or more list preferences with that user based on the list interaction history, and builds a recommendation list with a plurality of candidate items having different recommendation confidences. The recommendation list is built such that each candidate item with a higher recommendation confidence is prioritized over each candidate item with a lower recommendation confidence according to the one or more list preferences correlated to that user.03-14-2013
20090234786Method for Governing the Operation of a Generalist Agent within a Complex Multi-Agent Adaptive System - Described is a method for governing the operation of a generalist agent within a multi-agent complex adaptive system such that the generalist agent maintains the stability of the system. The method includes the steps of migrating about the system, badging with the specialty agents, participating in the respective function performed by the specialty agents, collecting information while functionally participating as a specialty agent, evaluating the collected information, reconfiguring source code in view of the evaluated information, testing the reconfigured source code through additional functional participation, determining the usefulness of the reconfigured source code, archiving any reconfigured source code determined to be useful, and distributing the useful reconfigured source code.09-17-2009
20130166483Detecting Missing Rules with Most General Conditions - A technique for detecting missing rules (mr) with most general conditions in a rule project (06-27-2013
20110289030METHOD AND SYSTEM FOR CLASSIFYING BRAIN SIGNALS IN A BCI - A method or system for classifying brain signals in a BCI. The system comprises a model building unit for building a subject-independent model using labelled brain signals from a pool of subjects.11-24-2011
20110289031LEARNING TRANSPORTATION MODES FROM RAW GPS DATA - Described is a technology by which raw GPS data is processed into segments of a trip, with a predicted mode of transportation (e.g., walking, car, bus, bicycling) determined for each segment. The determined transportation modes may be used to tag the GPS data with transportation mode information, and/or dynamically used. Segments are first characterized as walk segments or non-walk segments based on velocity and/or acceleration. Features corresponding to each of those walk segments or non-walk segments are extracted, and analyzed with an inference model to determine probabilities for the possible modes of transportation for each segment. Post-processing may be used to modify the probabilities based on transitioning considerations with respect to the transportation mode of an adjacent segment. The most probable transportation mode for each segment is selected.11-24-2011
20080235167METHODS AND SYSTEMS FOR SELECTING MOLECULAR STRUCTURES - A method and system for the design of molecules having specific desired properties by continuously optimizing electron-nuclear attraction potentials within a space. Using a linear combination of atomic potentials, optimal and near-optimal structures may be designed without enumerating and separately evaluating each of the combinatorial number of possible structures, thus achieving improved design throughput.09-25-2008
20090281973System and process for boosting recommendations for use in providing personalized advertisements to retail customers - A system and process for incorporating recommendation boosting in an automated recommendation system includes receiving recommendation boost instructions, receiving a request for one or more recommendations, receiving a set of recommendations from one or more automated recommendation systems, with each recommendation system utilizing selection models or user models and modifying the set of product recommendations according to the recommendation boost instructions.11-12-2009
20100070443METHOD AND SYSTEM FOR AN ADAPTIVE LEARNING STRATEGY - A system and method for a computer-based training in which a user is presented with a first training session associated with a learning strategy. Quantitative data concerning the first training session is gathered and evaluated to determine the effectiveness of the learning strategy for the user. A user is presented with a second training session associated with a different learning strategy based on the determined effectiveness of the first learning strategy.03-18-2010
20100114806Condition-Based Monitoring System For Machinery And Associated Methods - Real-time condition-based analysis is performed on a machine for providing diagnostic and prognostic outputs indicative of machine status includes a signal processor for receiving signals from sensors adapted for measuring machine performance parameters. The signal processor conditions and shapes at least some of the received signals into an input form for a neural network. A fuzzy adaptive resonance theory neural network receives at least some of the conditioned and shaped signals, and detects and classifies a state of the machine based upon the received conditioned and shaped signals, and upon a predetermined ontology of machine states, diagnostics, and prognostics. The neural network can also determine from the machine state a health status thereof, which can comprise an anomaly, and output a signal representative of the determined health status. A Bayesian intelligence network receives the machine state from the neural network and determines a fault probability at a future time.05-06-2010
20120036096METHOD OF GENERATING AN INTEGRATED FUZZY-BASED GUIDANCE LAW FOR AERODYNAMIC MISSILES - The method for generating an integrated guidance law for aerodynamic missiles uses a strength Pareto evolutionary algorithm (SPEA)-based approach for generating an integrated fuzzy guidance law, which includes three separate fuzzy controllers. Each of these fuzzy controllers is activated in a unique region of missile interception. The distribution of membership functions and the associated rules are obtained by solving a nonlinear constrained multi-objective optimization problem in which final time, energy consumption, and miss distance are treated as competing objectives. A Tabu search is utilized to build a library of initial feasible solutions for the multi-objective optimization algorithm. Additionally, a hierarchical clustering technique is utilized to provide the decision maker with a representative and manageable Pareto-optimal set without destroying the characteristics of the trade-off front. A fuzzy-based system is employed to extract the best compromise solution over the trade-off curve.02-09-2012
20120036095METHOD OF GENERATING AN INTEGRATED FUZZY-BASED GUIDANCE LAW USING TABU SEARCH - The present invention relates to the generation of an integrated guidance law for aerodynamic missiles. Particularly, a Tabu search-based approach is utilized for generating an integrated fuzzy guidance law, which includes three separate fuzzy controllers. Each of these fuzzy controllers is activated in a unique region of missile interception. The method includes the following steps: establishing a missile guidance law ƒ(z), where z represents a vector containing fuzzy membership functions and guidance rules associated with the missile guidance law; and optimizing the missile launch guidance law ƒ(z) by minimizing the equation02-09-2012
20100088260PARAMETER CONTROLLING APPARATUS AND MULTISTAGE COLLATION APPARATUS - A parameter controlling apparatus calculates similarity variation distribution of different data and that of identical data. The parameter controlling apparatus creates a collation break-off rate function and an error probability function based on the similarity variation distribution of the different data and that of the identical data, respectively, and creates a total collation time function and a total error probability function based on the collation break-off rate function and the error probability function. The parameter controlling apparatus creates a constraint equation based on the total collation time function, the total error probability function, total collation time constraint parameters, and total error probability constraint parameters. The parameter controlling apparatus calculates a parameter group that optimizes an objective function constituted by the collation break-off rate function, the error probability function, the total collation time function, and the total error probability function among combinations of parameters that satisfy the constraint equation.04-08-2010
20080270332Associative Memory Device and Method Based on Wave Propagation - An associative, or content-addressable, memory device (10-30-2008
20100082509Self-Adapting Iterative Solver - A self-adapting iterative solver is provided that employs a self-adapting process for extracting singularities for solving linear systems of equations. The self-adapting iterative solver dynamically determines how to adapt its performance in the presence of one or more singularities encountered in a linear system of equations. In certain embodiments, the self-adapting iterative solver can identify possible singularities, and then analyzes its performance for adapting to a treatment of the possible singularities that provides a desired performance (i.e., for achieving convergence to a solution). Thus, rather than being pre-configured for providing a certain treatment of (e.g., eliminating) certain pre-identified singularities, in certain embodiments, the iterative solver adapts its treatment of singularities based on its computing performance.04-01-2010
20110173146Complexity systems management method - The Complexity Systems Management (CSM) Method is a scientifically derived business process method for managing complex events and situations. The CSM Method™ is based on new scientific evidence that explains the behaviors of complex adaptive systems. This same scientific evidence gives rise to a new method of science, known as a priori optionality. A priori optionality is based on six scientifically derived tenets that are systematically applied using the CSM Method™ to more accurately characterize the behaviors of complex adaptive systems and manage complex events and situations. Applications of the CSM Method are integrally tied to specialized knowledgebases and a plurality of automated software applications.07-14-2011
20090327179AUTOMATIC TRANSLATION OF CONTRACTS TO POLICIES IN POLICY-BASED NETWORKS - A system, method, and information processing system manage a network. At least one contract including one or more components is received at a network that uses a component based architecture. A first operation (12-31-2009
20090281972ADAPTIVE LEARNING FRAMEWORK FOR DATA CORRECTION - Architecture that employs adaptive learning algorithms to adapt a data correction tool to user-specific behavior during runtime. The architecture includes a framework for training and measuring adaptive learning algorithms, adapting the current text correction tool codebase, and one or more different adaptive learning algorithms. This enables a text correction system to adapt the behavior of the text correction system to an individual user based on the user's interaction with the data correction system. This also facilitates the testing and improvements in an adaptive learning algorithm at the vendor before shipping in a product to the end-user. This reduces the risk of shipping a feature the precise behavior of which is different for each user.11-12-2009
20090281974System and method for adaptive data masking - A method for adaptive data masking of a database is provided. The method comprises extracting data from a first database and providing one or more predefined rules for masking the extracted data. The method further comprises masking a first portion of extracted data using a trained Artificial Neural Network (ANN), where the ANN is trained for masking at least one database having properties similar to the first database. The masked and unmasked data is aggregated to arrive at an output structurally similar to the extracted data. The method furthermore comprises determining a deviation value between the arrived output and expected output of the extracted data, and adapting the trained ANN automatically according to data masking requirements of the first database, if the deviation value is more than a predefined value.11-12-2009
20080249968Adaptive computer-based personalities - A method and system for adapting computer-based personalities, as manifested by textual or audio communications, is disclosed. The communications comprise one or more phrases that may be selected non-deterministically. The frequency distribution of the plurality of potential phrases is updated based on the behaviors of the communications recipients. Thus, the frequency of the selection of phrases included in communications, and hence the “personality,” of the computer-based system, is influenced by prior usage behaviors. The computer-based personality may also exhibit “self-awareness' by monitoring changes in phrase frequency distributions over time, as well as being capable of expressing awareness of, and inferences from, changes in the behavior patterns of users over time.10-09-2008
20090083200METHOD AND SYSTEM FOR ACTIVE LEARNING SCREENING PROCESS WITH DYNAMIC INFORMATION MODELING - Systems and methods consistent with the present invention improve manual screening processes for a group of documents by implementing an active learning screening process with dynamic information modeling. A classification algorithm is trained to recognize the relationships between concept tags applied to a subset of the documents and true or correct utility or relevance ratings applied to the subset of documents. Once adequately trained using several subsets of documents, the classification algorithm may be applied to the entire group of documents, screening out documents that are not relevant or important.03-26-2009
20090125464Method and Apparatus for Acquiring a Common Interest-Degree of a User Group - A method of acquiring a common interest-degree of a user group for a program, wherein each user of the user group corresponds to a user profile, and the method includes the following steps: receiving a program, which contains at least one content feature; acquiring like-degree, compromise-index and user weight of the user for the said content feature from the user profile; adjusting the user's like-degree for the content feature, with combination of user weight and comprise-degree of each user; acquiring the common interest-degree of the user group for the program according to the adjusted like-degree. In this invention, the compromise indexes of the various users, who are watching certain program, are adopted to adjust the corresponding user weights, so as to acquire the common interest-degree of the user group more accurately and comprehensively.05-14-2009
20080319930INFORMATION PROCESSING APPARATUS AND METHOD, AND PROGRAM - An information processing apparatus includes: strength estimation means for calculating an operation frequency for each predetermined time period from an operation history, and estimating a time period of the operation frequency which exceeds a predetermined value as a time period over which the user has a strong desire to adjust; detecting means for calculating, from the operation history, an operation frequency for each function of the electronic apparatus of the operation history in a time period corresponding to the time period of the strong desire to adjust estimated by the strength estimation means, and detecting a feature of the adjustment operation made by the user for the function of the electronic apparatus, the feature corresponding to the operation frequency for each function of the electronic apparatus; and determination means for determining a function, desired by the user to adjust, of the electronic apparatus, the function corresponding to the feature detected by the detecting means.12-25-2008
20090006290TRAINING RANDOM WALKS OVER ABSORBING GRAPHS - A random walk is performed over a graph, such as an augmented bipartite graph, relating to ownership data with respect to a plurality of users and items owned; the graph can provide social links between the users as well. Items can be recommended to users who do not own the items by randomly walking the graph starting at the user node to which the recommendation will be given. The random walk can step from user to user or from user to item; when an item is reached, the node can be absorbing such that the random walk terminates. The arrived item is recommended to the user. Parameters can also be provided to affect decisions made during the walk about which users to walk to and/or whether to walk to a user or an item.01-01-2009
20090144211DYNAMIC REPRESENTATION OF GROUP ACTIVITY THROUGH REACTIVE PERSONAS - Embodiments are directed towards managing an adaptive media object to dynamically represent a persona reflecting a group's (or individual's) online and/or offline activities and behaviors. The group selects the adaptive media object to represent their persona digitally. The group may indicate which activities, actions, and/or behaviors are to be used to adapt the persona, and may further specify at least one mapping of a selected activity, action, and/or behavior to a change in the configuration of the adaptive media object. In one embodiment, the various activities, actions, and/or behaviors may be input to a machine learning algorithm that dynamically determines the changes to the adaptive media object. The adaptive media object may serve as a single point of contact for the group or individual for communications. The adaptive media object configuration may also change based upon the client device used to access the adaptive media object.06-04-2009
20110225111USE OF GENERAL BAYESIAN NETWORKS IN OILFIELD OPERATIONS - Embodiments of the present invention provide methods of using General Bayesian Networks to automate oilfield operations. In certain aspects, a Monte-Carlo method is used to propagate probability density functions for root-variables to continuous-valued hidden variables reflecting some oilfield operation properties. Evidence in the form of observed properties are used to weight samples used in the Monte-Carlo process thereby propagating the observed values onto other variables. The inferred probability distributions are provided to an oilfield control system or monitoring system.09-15-2011
20120143802Adaptive Pairwise Preferences in Recommenders - Methods, systems, and products adapt recommender systems with pairwise feedback. A pairwise question is posed to a user. A response is received that selects a preference for a pair of items in the pairwise question. A latent factor model is adapted to incorporate the response, and an item is recommended to the user based on the response.06-07-2012
20080319931SYSTEM FOR SUPPORTING USER'S BEHAVIOR - Provided is a system 12-25-2008
20080319929Automated Action-Selection System and Method , and Application Thereof to Training Prediction Machines and Driving the Development of Self-Developing Devices - In order to promote efficient learning of relationships inherent in a system or setup S described by system-state and context parameters, the next action to take, affecting the setup, is determined based on the knowledge gain expected to result from this action. Knowledge-gain is assessed “locally” by comparing the value of a knowledge-indicator parameter after the action with the value of this indicator on one or more previous occasions when the system-state/context parameter(s) and action variable(s)=had similar values to the current ones. Preferably the “level of knowledge” is assessed based on the accuracy of predictions made by a prediction module. This technique can be applied to train a prediction machine by causing it to participate in the selection of a sequence of actions. This technique can also be applied for managing development of a self-developing device or system, the self-developing device or system performing a sequence of actions selected according to the action-selection technique.12-25-2008
20100274746Method and Device for Computer-Aided Prediction of Intended Movements - Method and device for computer-aided prediction of intended movements from neuronal signals of a brain, wherein the neuronal signals are each associated in the brain with intended movements, wherein neuronal signals are recorded and the most probable movements are determined from these, specifically using a predetermined model in which a recorded neuronal signal and a determined movement are assigned to each other, and, for the probability with which a recorded neuronal signal corresponds to a respective predetermined movement, a predetermined distribution is assumed that is defined by specific characteristic values, wherein an adaptation of the neuronal signal is included in the predetermined model.10-28-2010
20100153322METHOD AND APPARATUS FOR PROVIDING AN ADAPTIVE PARSER - A method and apparatus for providing an adaptive parser are disclosed. For example, the method receives a configuration for a router, and parses a command from the configuration. The method determines whether there is an existing entry for the command in a model of a configuration language, wherein the model of the configuration language is used to record a syntactic structure of each command in the configuration language and its relationship to other commands. The method creates a new entry for the command in the model of the configuration language, if there is no existing entry for the command; and uses the model to update the parser.06-17-2010
20080208779SELF-TRAINING AND SELF-TESTING SYSTEMS AND METHODS - Embodiments herein begin by being supplied with input of at least two parties. From this, the embodiments herein automatically generate a contract between the parties, computerized self-training programs, and computerized self-testing programs based on the parties input. Embodiments herein cause employees of a service provider to perform computerized self-training programs directed toward a first phase of the requirements. The embodiments herein also use a computerized self-testing program to determine whether all of the employees of the service provider within a specific group have acquired knowledge that exceeds the first phase of the requirements. Further, these embodiments prevent any employee of the service provider within the specific group from performing computerized self-training programs directed toward a second phase of the requirements until all of the employees of the service provider within the specific group have acquired knowledge that exceeds the first phase of the requirements, as determined by the computerized self-testing program.08-28-2008
20090076989AUTOMATED CLASSIFICATION ALGORITHM COMPRISING AT LEAST ONE INPUT-INVARIANT PART - A classification algorithm is separated into one or more input-invariant parts and one or more input-dependent classification parts. The input-invariant parts of the classification algorithm capture the underlying and unchanging relationships between the plurality of data elements being operated upon by the classification algorithm, whereas the one or more classification parts embody the probabilistic labeling of the data elements according to the various classifications. For any given iteration, a user's input is used to modify at least one classification part of the algorithm. Recalculated classification parts (i.e., updated classification results) are determined based on computationally simple combinations of the one or more modified classification parts and the one or more input-invariant parts. Preferably, a graphical user interface is used to solicit user input. In this manner, wait times between user feedback iterations can be dramatically reduced, thereby making application of active learning to classification tasks a practical reality.03-19-2009
20100235310Temporally dynamic artificial neural networks - An apparatus, article and method containing an artificial neural network that, after training, produces new trainable nodes such that input data representative of a first event and input data representative of a second event both activate a subset of the new trainable nodes. The artificial neural network can generate an output that is influenced by the input data of both events. In various embodiments, the new trainable nodes are sequentially produced and show decreasing trainability over time such that, at a particular point in time, newer produced nodes are more trainable than earlier produced nodes. The artificial neural network can be included in various embodiments of methods, apparatus and articles for use in predicting or profiling events.09-16-2010
20090112779Data scoping and data flow in a continuation based runtime - Described is a data model used in a continuation based runtime that executes activities. The data model provides for declaring parameters to define data flow direction (in, out or both in and out) with respect to activities. The model further allows for the declaring of variables to provide for data storing and sharing between activities that are in scope, based on a tree relationship between activities. In one aspect, an activity tree includes a topmost parent composite activity and at least one child activity of that topmost parent composite activity. Variables are associated with one or more composite activities of the tree, and the ancestral relationships between composite activities and (non-composite) child activities determine the in-scope access to variables. Arguments such as binding expressions may bind variables to an activity's parameters.04-30-2009
20090106178Computer-Implemented Systems And Methods For Updating Predictive Models - Computer-implemented systems and methods for updating champion predictive models that operate within a production environment. A system and method can include evaluating the predictive model performance of a champion predictive model. Based upon an indication of decay of predictive model performance of the champion predictive model, a corrective action is performed to correct the performance of the champion predictive model.04-23-2009
20100250477SYSTEMS AND METHODS FOR OPTIMIZING A CAMPAIGN - Systems and methods for optimizing a digital message campaign response are provided where a relationship is discovered between (i) variance in the absence or presence of one or more elements in digital message across a first plurality of digital messages for a first plurality of recipients and (ii) variance in performance of at least one selected response event across the first plurality of recipients. The relationship is used to modify or create a campaign rule that specifies a frequency or range of frequencies for incorporation of an element in digital messages. The campaign rule is used as a basis for determining a frequency of incorporation of an element in a second plurality of digital messages sent to a second plurality of recipients in the campaign. The relationship discovery and campaign rule modification or creation continues on an ongoing basis throughout the campaign and, optionally, after the campaign is completed.09-30-2010
20100332431METHOD AND APPARATUS FOR MODIFYING A USER PREFERENCE PROFILE - A user preference profile apparatus comprises a receiver (12-30-2010
20110029469INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM - An information processing apparatus, which performs setting of a mixture model function representing a mixture model along with adaptively adjusting the number of model components mixed in the mixture model, includes an acquisition section configured to acquire a first data sample and a second data sample, both of which are composed of multi-dimensions; a mixture-model-function generation section configured to generate a mixture model function on the basis of the first data sample; a mixture-model-function goodness-of-fit calculation section configured to calculate a goodness of fit for the mixture model function on the basis of the second data sample; and a mixture-model-function update section configured to update the mixture model function so as to adjust the number of model components mixed in a mixture model, which are represented by the mixture model function, on the basis of the goodness of fit for the mixture model function.02-03-2011
20110246402ACOUSTIC EVENT CLASSIFICATION USING PARTICLE SWARM OPTIMIZATION WITH FLEXIBLE TIME CORRELATION MATCHING - An acoustic event classifier uses particle swarm optimization (PSO) to perform a flexible time correlation of a sensed acoustic signature to reference acoustic signatures in a multi-dimensional parameter space. The classifier may fuse the acoustic signatures from multiple acoustic sensors to form the sensed acoustic signature. The approach is generally applicable to classify all types of acoustic events but is particularly well-suited to classify “explosive” events such as gun shots, mortar blasts, improvised explosive device blasts etc.10-06-2011
20090048992SYSTEM AND METHOD FOR REDUCING THE REPETITIVE RECEPTION OF A MEDIA ITEM RECOMMENDATION - A system and method for reducing the repetitive reception of a media item recommendation in a media item recommendation system are disclosed. A media item recommendation is received from a recommender. The media item recommendation is designated to be sent to an intended recipient. Before the media item recommendation is sent to the intended recipient, a record of activity of the media item is reviewed and a determination is made as to whether to send the media item recommendation to the intended recipient based on the record of activity. In this manner, it can be determined if the media item recommendation is unduly repetitive and, if so, not sent to the intended recipient. This reduces the continuous feed-back loop of the same media item recommendation.02-19-2009
20100070444Method, System, And Computer Program Product For Adaptively Learning User Preferences For Smart Services - A method, system, and computer program product are described for adaptively learning user preferences for smart services. According to an exemplary embodiment, a method for adaptively learning user preferences for smart services includes modeling an availability of a subscriber for responding to an event associated with a service in terms subscriber context information available to determine a current situation of the subscriber related to the service, the subscriber context information based on private information of the subscriber. The availability of the subscriber for responding to the event is determined using a probability value associated with at least a portion of the subscriber context information. The probability value associated with the portion of the subscriber context information is updated based on feedback received from the subscriber in response to being presented a response to the event.03-18-2010
20100063949LONG-TERM MEMORY IN A VIDEO ANALYSIS SYSTEM - A long-term memory used to store and retrieve information learned while a video analysis system observes a stream of video frames is disclosed. The long-term memory provides a memory with a capacity that grows in size gracefully, as events are observed over time. Additionally, the long-term memory may encode events, represented by sub-graphs of a neural network. Further, rather than predefining a number of patterns recognized and manipulated by the long-term memory, embodiments of the invention provide a long-term memory where the size of a feature dimension (used to determine the similarity between different observed events) may grow dynamically as necessary, depending on the actual events observed in a sequence of video frames.03-11-2010
20100070442ORGANIZING KNOWLEDGE DATA AND EXPERIENCE DATA - Improvement projects in large organizations are often driven by process engineers with different backgrounds and different experiences. In such an environment is useful to support the process engineers by an effective knowledge management. Typically process knowledge of an organization is represented by a reference process having tables containing process objects with descriptions for e.g. roles, tasks and work products. By assigning annotations containing experiences gained from performed counseling projects to the respective objects of the tables, experiences made by consultants performing these projects can be added to the reference process in a formal way. This improves the reusability of knowledge and experience inherent in an organization.03-18-2010
20120303561METHOD AND APPARATUS FOR PROVIDING RULE-BASED RECOMMENDATIONS - An approach is provided for providing rule-based recommendations. The approach involves a processing of one or more user profile tags, context tags, content tags, channel tags and/or other context information. The approach further involves a determination of one or more weighting factors of one or more of the user profile tags, context tags, content tags, channel tags and other context information. The approach also involves an application of one or more rule sets that bases a determination of a recommendation on the weighting factor. The approach, then, generates one or more recommendations.11-29-2012
20130159228DYNAMIC USER EXPERIENCE ADAPTATION AND SERVICES PROVISIONING - The subject disclosure generally relates to dynamic user experience adaptation and services provisioning. A user experience component can provide a user experience (UX) to a user. The UX can include, but is not limited to, an operating system, an application (e.g., word processor, electronic mail, computer aided drafting, video game, etc.), a user interface, and so forth. A monitoring component can monitor feedback generated in association with interaction with the user experience by the user. An update component can analyze the feedback, and update a user model associated with the user based at least in part on the analysis, and an adaptation component can modify the user experience based at least in part the user model.06-20-2013
20100299292Systems and Methods for Application-Level Security - A system and method for application-level security is disclosed. Application-level security refers to detecting security threats from functional user behavior. Information about functional user behavior is transformed into a behavior session. The behavior session is transformed into a behavior pattern. The behavior pattern is correlated with evaluation patterns to detect potential security threats. Behavior patterns are collected over time to improve analysis.11-25-2010
20120310870APPLICATION CONFIGURATION GENERATION - Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.12-06-2012
20100268676REFLECTIVE PROCESSING OF COMPUTER HIERARCHIES - A method for the automatic examination of knowledge system hierarchies is disclosed. A target TMK hierarchy is represented as a plurality of records in a database. A second TMK hierarchy (a “critic”) is constructed of tasks, subtasks, methods, procedures and actions. The critic hierarchy includes actions that retrieve and examine at least one record of the database representing the target hierarchy. The examination of the record provides a result. The result is of the form of a modification of the processing within the critic hierarchy or of the form of a report or a modification of the target hierarchy's elements, namely, tasks, methods, procedures, actions, class structures, or the relationship between the elements. The report is in a form suitable for printing or displaying on a computer monitor. The modification of the target hierarchy is of the form of writing one or more records to the database representing the target hierarchy. The invention also discloses software that implements the method of the invention.10-21-2010
20090299926Methods For Data Classification - The present invention provides methods for classifying data and uncovering and correcting annotation errors. In particular, the present invention provides a self-organizing, self-correcting algorithm for use in classifying data. Additionally, the present invention provides a method for classifying biological taxa.12-03-2009
20090099987DECOMPOSED OPTIMAL BAYESIAN STACKELBERG SOLVER - Techniques are described for Stackelberg games, in which one agent (the leader) must commit to a strategy that can be observed by other agents (the followers or adversaries) before they choose their own strategies, in which the leader is uncertain about the types of adversaries it may face. Such games are important in security domains, where, for example, a security agent (leader) must commit to a strategy of patrolling certain areas, and robbers (followers) have a chance to observe this strategy over time before choosing their own strategies of where to attack. An efficient exact algorithm is described for finding the optimal strategy for the leader to commit to in these games. This algorithm, Decomposed Optimal Bayesian Stackelberg Solver or “DOBSS,” is based on a novel and compact mixed-integer linear programming formulation. The algorithm can be implemented in a method, software, and/or system including computer or processor functionality.04-16-2009
20120041913SYSTEMS, METHODS, AND APPARATUS FOR OTOACOUSTIC PROTECTION OF AUTONOMIC SYSTEMS - Systems, methods and apparatus are provided through which in some embodiments an autonomic unit transmits an otoacoustic signal to counteract a potentially harmful incoming signal.02-16-2012
20120005140Expression Conflict Resolution in Communication Network Tailoring - Rule creation engine for application in a service (01-05-2012
20120016827BIOMETRICS WITH MENTAL/ PHYSICAL STATE DETERMINATION METHODS AND SYSTEMS - Methods and systems for determining whether a particular individual is to be granted, among other things, access to information, access to a particular room or other space, or permission to perform a given act or transaction are disclosed. For example, disclosed is an exemplary method that includes performing multiple biometrics tests on the individual to retrieve multiple biometrics test results, performing at least a first data fusion operation on the multiple biometrics test results to determine an identity result, performing at least one biological state test to determine one or more biological state test results of the individual, and conditionally granting authority to the individual based on the identity result and the one or more biological state results.01-19-2012
20120254083SYSTEM AND METHOD FOR AUTOMATICALLY GENERATING A MEDICAL CODE - Disclosed herein is a system which address the problem of multiple mappings of a source ICD code to a target ICD code by using an adaptive mechanism to automatically convert to a target ICD code with the help of accompanying data and associated rules. The mechanism is based on analysis of the ICD code description, and analysis of accompanying data to determine a set of parameters to assist in the conversion. The rules are assigned numerical values to indicate the confidence of conversion. An adaptive mechanism is also disclosed that automatically tracks user overrides to refine the rules and the indicator values over time.10-04-2012
20120023048MOTION DISCRIMINATION SYSTEM, METHOD FOR STRUCTURING MOTION DISCRIMINATION MODEL, METHOD FOR MOTION DISCRIMINATION AND COMPUTER PROGRAM FOR MOTION DISCRIMINATION - Problem to be solved by the invention: The present invention aims at providing a motion discrimination system and a method for motion discrimination capable of real-time and accurate detecting motions of an object.01-26-2012
20120059780CONTEXT RECOGNITION IN MOBILE DEVICES - Mobile device (03-08-2012
20120123982Method of automatically modifying the probability of random selection of a presentation based on how long the user delays before skipping (time-based skip weighting) - A method of adjusting the probability of a presentation being randomly selected during random play based on user feedback where the length of delay prior to the user pressing the skip button causes a modification in the probability of that presentation being displayed again.05-17-2012
20120158628Method and System for Detecting Missing Rules with Most General Conditions - A technique for detecting missing rules (mr) with most general conditions in a rule project (06-21-2012
20110106738SYSTEM AND METHOD FOR MANAGING IMPLEMENTATIONS - A system and method for managing implementations comprising real-time implementation decisions based on configuration rules and real-time events. The method ensures organizational-level control over implementation configuration. The method further facilitates prioritization of implementations based on organizational criteria. In real-time decision is based on configured rules, and provides a flexible yet consistent approach to implementation. The method facilitates communication throughout the implementation by allowing multiple concurrent modes of communication among implementation users, and between users and the system. Continuous improvement is facilitated by incorporating management of lessons learned, and by including recommendations for current implementation based statistics from prior decisions and from lessons learned.05-05-2011
20120166373KNOWLEDGE REPRESENTATION SYSTEMS AND METHODS INCORPORATING INFERENCE RULES - Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with context information. Methods of populating an elemental data structure and methods of synthesizing complex KRs from the elemental data structure may rely on linguistic inference rules and/or elemental inference rules.06-28-2012
20120166372SYSTEMS AND METHODS FOR APPLYING STATISTICAL INFERENCE TECHNIQUES TO KNOWLEDGE REPRESENTATIONS - Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with context information. Methods of populating an elemental data structure and methods of synthesizing a complex KR from the elemental data structure may rely on statistical inference techniques.06-28-2012
20120166371KNOWLEDGE REPRESENTATION SYSTEMS AND METHODS INCORPORATING DATA CONSUMER MODELS AND PREFERENCES - Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with context information. Methods of populating an elemental data structure and methods of synthesizing complex KRs from the elemental data structure may depend on user models, context information, preference information, and/or preference models.06-28-2012
20100049678SYSTEM AND METHOD OF PREFETCHING AND CACHING WEB SERVICES REQUESTS - A web services request prefetching proxy receives web services registry requests from a client, applies a prediction rule to the request to generate likely next web services registry requests, searches the web services registry based on the predicted likely next web services requests, and preloads a caching proxy with a search result. The caching proxy receives web services registry requests and, depending on a hit or miss, reports to the client.02-25-2010
20120179636Method and System for Automatically Classifying and Identifying Vestibulo-Ocular Responses - Stabilizing the visual system for any sighted mobile system increases immunity of the mobile system's gaze and reduces information processing task complexity. Two human reflexes are the optokinetic reflex and vestibulo-ocular reflex (VOR). The VOR stabilizes retinal images during head movement by producing eye movements in the opposite direction. Improved analysis of the VOR in humans would improve the diagnosis/treatment of patients, provide improvements in visual prosthesis performance for patients, and also vision systems performance for mobile robotic systems. However, an important issue for prior art mathematical analysis techniques is the requirement to classify the nystagmus segments before applying any analysis techniques, wherein this classification should be preferably performed non-subjectively. Accordingly the inventors overcome these limitations by performing classification, i.e. segmentation of the data record into multiple modes (including possible artifacts or outliers), and identification of mode dynamics concurrently and objectively in a manner suitable for multi-input systems.07-12-2012
20120185420Adaptive Device Behavior in Response to User Interaction - A manifestation of user frustration associated with an action currently being performed by an apparatus is detected. The action is modified so as to alleviate the user frustration. The apparatus determines whether the modification to the action results in alleviating the user frustration, and may store data that causes the modification to the action to be subsequently performed.07-19-2012
20120233102APPARATUS AND ALGORITHMIC PROCESS FOR AN ADAPTIVE NAVIGATION POLICY IN PARTIALLY OBSERVABLE ENVIRONMENTS - An apparatus and method for automatic learning of high-level navigation in partially observable environments with landmarks uses full state information available at the landmark positions to determine navigation policy. Landmark Markov Decision Processes (MDPs) can be generated only for encountered parts of an environment when navigating from a starting state to a goal state within the environment, thereby reducing computational resources needed for a navigation solution that uses a fully modeled environment. An MDP policy is calculated using the SarsaLandmark algorithm, and the policy is transformed to a navigation solution based on the current position and connectivity information.09-13-2012
20110131165EMOTION ENGINE, EMOTION ENGINE SYSTEM AND ELECTRONIC DEVICE CONTROL METHOD - An emotion engine and an emotion engine system adapted to an electronic device are provided. The emotion engine system includes a behavior control unit, a sensing unit, a time unit, and a behavior data bank. The behavior control unit provides a first behavior mode and a second behavior mode. When the sensing unit is enabled, it generates a trigger sensing signal or an initial sensing signal for the behavior control unit. The time unit generates a timing signal for the behavior control unit. The behavior data bank stores a plurality of behavior data, wherein the first and the second behavior modes are respectively corresponding to at least one of the behavior data. The behavior control unit determines the behavior data corresponding to the second behavior mode according to the timing signal, the trigger sensing signal and the first behavior mode. Additionally, an electronic device control method is also provided.06-02-2011
20110047109Brain-Based Device Having a Cerebellar Model for Predictive Motor Control - A mobile brain-based device (BBD) includes a mobile platform with sensors and effectors, which is guided by a simulated nervous system that is an analogue of the cerebellar areas of the brain used for predictive motor control to determine interaction with a real-world environment. The simulated nervous system has neural areas including precerebellum nuclei (PN), Purkinje cells (PC), deep cerebellar nuclei (DCN) and an inferior olive (IO) for predicting turn and velocity control of the BBD during movement in a real-world environment. The BBD undergoes training and testing, and the simulated nervous system learns and performs control functions, based on a delayed eligibility trace learning rule.02-24-2011
20110047108Method for Managing Obesity, Diabetes and Other Glucose-Spike-Induced Diseases - Disclosed is a method for managing obesity, diabetes, hair loss, aging, cardiovascular, or other blood glucose-spike-induced diseases by reducing the post-prandial blood glucose spike, or the glucose shock. The blood glucose spike, or the glucose shock is reduced by generating a person-specific glucose profile for at least one significant meal to tune or train a blood glucose model (kinetic, artificial intelligence or hybrid), and then using the tuned or the trained model embedded in a computation-capable electronic device to compute and recommend a person-specific meal plan and an exercise plan, including semi-continuous meal ingestion and post-meal exercise while sitting at home or office. Advantages over prior art are that the method uses less strenuous exercise with no or less medicine, is person-specific, quantitative and more suitable for use by an individual, a dietician, or a health care practitioner.02-24-2011
20110047107METHOD AND DEVICE FOR RECOGNIZING STATE OF NOISE-GENERATING MACHINE TO BE INVESTIGATED - A statistical basic classification model of acoustic features generated for at least one reference object is automatically adapted by a data processing unit based on acoustic features of a noise generated by an object to be investigated to obtain an individually adapted statistical classification model. The data processing unit then classifies the state of the noise-generating object based on the individually adapted statistical classification model.02-24-2011
20100205129METHODS, APPARATUS, AND COMPUTER PROGRAM PRODUCTS FOR ESTIMATING A MOOD OF A USER, USING A MOOD OF A USER FOR NETWORK/SERVICE CONTROL, AND PRESENTING SUGGESTIONS FOR INTERACTING WITH A USER BASED ON THE USER'S MOOD - A mood of a user is estimated based on a user's profile, data indicative of a user's mood received from a communication device associated with the user and from sources other than the user, and environmental data with a potential impact on the user's mood. Data indicative of the user's mood and the environmental data are processed to filter out data that is not relevant to the user's mood. The filtered data is cross-correlated with the user profile, and the mood of the user is estimated based on the cross-correlated filtered data. A network and services may be controlled based on a user's mood. Suggestions for interacting with the user may be generated based on the user's mood.08-12-2010
20120136819TURBINE PERFORMANCE DIAGNOSTIC SYSTEM AND METHODS - A turbine performance diagnostic system creates a performance report for one or more turbines and includes an assessment module that receives operating data from at least one turbine and produces a performance report from the operating data. The assessment module includes a change detection module configured to determine when at least one parameter has changed beyond an associated threshold and generate an alarm and a root cause analyzer coupled to the change detection module that predicts a root cause of the alarm utilizing a Bayesian Belief Network (BBN). The performance report includes an indication of the predicted root cause.05-31-2012
20120150777ACTION HISTORY SEARCH DEVICE - According to one embodiment, an action history search device receives an inquiry from a user and outputs a inquirty time and a target of inquiry, decides a range for searching action history information representing history of the user's action together with a time of the user's action using the target of inquiry, and calculates an elapsed time from the time of the user's action within the range to the inquiry time. The device judges using the elapsed time and a narrowing-down model a probability on each response candidate to the inquiry based on the history of the action within the range. The narrowing-down model is used for judging according to the elapsed time the probability that the response candidate to the inquiry obtained from the history of the action is the user's desired response. The device outputs the response candidate according to the probability.06-14-2012
20130018830PREDICTIONS USING AGGREGATE INFORMATIONAANM Dhurandhar; AmitAACI Yorktown HeightsAAST NYAACO USAAGP Dhurandhar; Amit Yorktown Heights NY US - Predictions of a given predictive model may be improved using aggregate information. A plurality of targets to predict in a given domain may be identified, and may be predicted based on raw data set. Aggregate information associated with the plurality of targets is received, the aggregate information including estimated or actual values at a coarser level of the plurality of targets, and based on the aggregate information, the predicted target values may be improved in prediction accuracy.01-17-2013
20130018829MANAGING CAPACITIES AND STRUCTURES IN STOCHASTIC NETWORKSAANM Dieker; Antonius B.AACI AtlantaAAST GAAACO USAAGP Dieker; Antonius B. Atlanta GA USAANM Ghosh; SoumyadipAACI PeekskillAAST NYAACO USAAGP Ghosh; Soumyadip Peekskill NY USAANM Squillante; Mark S.AACI Pound RidgeAAST NYAACO USAAGP Squillante; Mark S. Pound Ridge NY US - A system, method and computer program product for managing capacities and structures in a stochastic network. The method includes mapping the stochastic network to a general analytic model, e.g., a Brownian model, decomposing the general analytic model of the stochastic network into a set of smaller general analytic models, determining the capacities/structures for the set of analytic models as an intermediate solution for the capacities/structures of the stochastic network; and, determining the capacities/structures for the stochastic network starting at the intermediate solution for the capacities/structures using simulation-based methods.01-17-2013
20080235168POLICY-BASED MANAGEMENT SYSTEM WITH AUTOMATIC POLICY SELECTION AND CREATION CAPABILITIES BY USING SINGULAR VALUE DECOMPOSITION TECHNIQUE - A statistical approach implementing Singular Value Decomposition (SVD) to a policy-based management system for autonomic and on-demand computing applications. The statistical approach empowers a class of applications that require policies to handle ambiguous conditions and allow the system to “evolve” in response to changing operation and environment conditions. In the system and method providing the statistical approach, observed event-policy associated data, which is represented by an event-policy matrix, is treated as a statistical problem with the assumption that there are some underlying or implicit higher order correlations among events and policies. The SVD approach enables such correlations to be modeled, extracted and modified. From these correlations, recommended policies can be selected or created without exact match of policy conditions. With a feedback mechanism, new knowledge can be acquired as new situations occur and the corresponding policies to manage them are recorded and used to generate new event and policy correlations. Consequently, based on these new correlations, new recommended policies can be derived.09-25-2008
20130173513CONTEXT-BASED DEVICE ACTION PREDICTION - The described implementations relate to automatically performing device actions. One implementation can obtain a contextual value of a contextor. The implementation can decide, using a decision engine, whether to perform an action on a computing device based on the contextual value. In an instance when the decision engine decides that the action is to be performed, the implementation can perform the action on the computing device. The implementation can also update the decision engine using feedback related to the action. As a specific example, the action can be prelaunching an application before a user has requested to execute the application. Prelaunching the application can reduce application latency relative to waiting for the user to request to execute the application before launching the application.07-04-2013
20120254084PASSENGER MOTION PREDICTION AND OPTIMIZATION SYSTEM - A method and a device are provided for predicting passenger movement in airports. Based on movement characteristics such as walking speed class and one or more points of interest of an individual passenger that are preferred by this passenger, a path is predicted for this passenger through the airport from a check-in counter, via the points of interest, to a gate. With reference to the predicted path, an estimated time of arrival of the passenger at the gate can be predicted.10-04-2012
20130091083BATTERY ADAPTIVE LEARNING MANAGEMENT SYSTEM - A system and methods for battery health diagnostics are disclosed. At least one battery property of a battery is measured in real-time to provide measured data, and at least one measurement time at which the measured data is measured is tracked. A battery history model is provided by adaptively modeling the measured data and the measurement time, and a future state of the battery is estimated based on the battery history model.04-11-2013
20130179376NO ENROLLMENT PROXIMITY TARGET DETECTION ON MOBILE DEVICES - An apparatus and method for no enrollment proximity target detection of mobile devices are provided. The method includes identifying at least one target user, detecting at least one target device, and for each target user and for each target device, determining a probability of the target user being associated with the target device.07-11-2013
20110313961Method and Apparatus for Routing Data - A method of routing data through a router in a communications network, the method comprising receiving one or more data packets, each packet having a respective destination address and applying a lookup algorithm to each packet, said lookup algorithm being arranged to determine a respective route along which each packet is to be transmitted towards its destination address by searching an associated hierarchical data structure containing routing information for each packet. The method comprising forwarding each packet for transmission to its respective destination address, wherein said lookup algorithm comprises an adaptive learning component that is configured to dynamically identify an optimum starting position for searching within said hierarchical data structure, for each of the data packets, based on the results of one or more earlier searches.12-22-2011
20110320391Method and Apparatus for Predicting Application Performance Across Machines with Different Hardware Configurations - A method and system for predicting performance of an application on a machine of a predetermined hardware configuration simulates the performance of the application under a plurality of different simulated hardware configurations; builds a predictive model of the performance of the application based on the results of the simulations; obtains the performance of the application on a plurality of actual machines, each of the machines having a different hardware configuration; and Bayesian reinterprets the predictive model built from the results of the simulations using the performance of the application on the plurality of actual machines, to obtain a final predictive model of the performance of the application having an accuracy greater than the predictive model built from the results of the simulations.12-29-2011
20120016828METHOD FOR SOLVING MINIMAX AND LINEAR PROGRAMMING PROBLEMS - A novel method is disclosed for efficiently solving minimax problems, and in particular, for efficiently solving minimax problems wherein the corresponding matrix is large. In particular, the novel method solves minimax problems in O(n01-19-2012

Patent applications in class ADAPTIVE SYSTEM