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Reasoning under uncertainty (e.g., fuzzy logic)

Subclass of:

706 - Data processing: artificial intelligence

706045000 - KNOWLEDGE PROCESSING SYSTEM

706046000 - Knowledge representation and reasoning technique

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DocumentTitleDate
20110178976DISCRIMINATION APPARATUS AND METHOD - An apparatus for discrimination includes a memory, an alignment unit configured to align nodes of a decision tree in the memory, wherein a node in which depth from a root node is not greater than a threshold is aligned in accordance with a breadth of first order, and a node in which depth from a root node is greater than a threshold is aligned in accordance with a depth of first order, and a discrimination unit, receiving an inputted data, configured to discriminate a class of the inputted data using the nodes aligned in the memory.07-21-2011
20110208683OPTICAL TEST ORDERING IN CASCADE ARCHITECTURES - Methods for optimizing the cost of executing a set of tests including finding the optimal ordering of the tests for some important cases such as set of tests having series-parallel structure with no statistical dependencies, and near-optimal orderings for the rest of the cases, such that the resources required for executing the tests are minimized.08-25-2011
20120173473Validating Legitimacy of a Social Security Number or Other Identifier - Methods and systems for predicting statistically probable systematically assigned identifiers are disclosed, as are methods and systems for determining the likelihood that a systematically assigned identifier provided by a purported assignee of the identifier is legitimate. In one example, determining the likelihood of legitimacy includes determining the likelihood that the provided identifier is a valid identifier and determining the likelihood that the provided identifier was assigned to the purported assignee. To accomplish this validation, the present disclosure employs patterns of assignment discernable for systematically assigned identifiers in combination with statistical methods.07-05-2012
20110191282Evaluating Statistical Significance Of Test Statistics Using Placebo Actions - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating statistical significance using placebo actions. One method includes receiving exposure data and control data describing exposed and control subjects and determining a test statistic for each of a plurality of subject actions including a desired action and a plurality of placebo actions. The test statistic for an action corresponds to an estimated effect that exposure to the treatment has on a likelihood that a subject will take the action. The method further includes comparing the test statistic for the desired action to the test statistics for the plurality of placebo actions, and determining whether the test statistic for the desired action is statistically significant according to the comparison. Another method includes automatically identifying placebo actions using a taxonomy that classifies subject actions or treatments, and determining test statistics for the placebo actions.08-04-2011
20100153328METHODS AND APPARATUS TO CONSTRUCT HISTOGRAM AND WAVELET SYNOPSES FOR PROBABILISTIC DATA - Example methods and apparatus to construct histogram and wavelet synopses for probabilistic data are disclosed. A disclosed example method involves receiving probabilistic data associated with probability measures and generating a plurality of histograms based on the probabilistic data. Each histogram is generated based on items represented by the probabilistic data. In addition, each histogram is generated using a different quantity of buckets containing different ones of the items. An error measure associated with each of the plurality of histograms is determined and one of the plurality of histograms is selected based on its associated error measure. The method also involves displaying parameter information associated with the one of the plurality of histograms to represent the data.06-17-2010
20110196820Robust Filtering And Prediction Using Switching Models For Machine Condition Monitoring - In a machine condition monitoring technique, a sensor reading is filtered using a switching Kalman filter. Kalman filters are created to describe separate modes of the signal, including a steady mode and a non-steady mode. For each new observation of the signal, a new mode is estimated based on the previous mode and state, and a new state is then estimated based on the new mode and the previous mode and state. In the steady mode, evolution covariances of both the observed signal and the rate of change of that signal are low. In the non-steady mode, the evolution covariance of the observed signal is set to a higher value, permitting the observed signal to vary widely, while the evolution covariance of the rate of change of the signal is maintained at a low level.08-11-2011
20130031046DEVICES, METHODS, AND SYSTEMS FOR MODEL BASED DEGREE-OF-ANGLE LOCALIZATION - Devices, methods, and systems for model based degree-of-angle localization are described herein. One device includes a memory and a processor. The processor is configured to execute executable instructions stored in the memory to construct a model of a number of signals, where the model includes a number of parameters. The processor executes the executable instructions to estimate the number of parameters and calculate range information of the number of signals. The processor executes the executable instructions to estimate a location of a transmitter transmitting the number of signals.01-31-2013
20130031045METHOD AND SYSTEM FOR TRACKING OBJECTS - An object tracking system and method operable to minimize processing time for tracking objects is provided. The system includes a pair of filters operable to make associations between dynamic objects newly detected and previously detected. One of the pair of filters makes an association when the predicted location of the previously detected objects is within a predetermined distance of the newly detected object. The other of the pair of filters makes an association based upon the probability that a newly detected dynamic object is a previously detected dynamic object. The remaining unassociated dynamic objects are then localized so as to form discrete matrices for optimization filters.01-31-2013
20090177611Storage of stochastic information in stochastic information systems - A stochastic information system stores a coherent stochastic model corresponding to an uncertain variable in a data store. The coherent stochastic model is stored in a compressed format. The stochastic information system includes a calculation engine operable to calculate a result by performing a simulation using the coherent stochastic model. In some implementations, the stochastic data is encoded and stored as a single element, such as, for example, a string. The stochastic data may be encoded using a quantizer, which may be configured to exploit gaps in the stochastic data. A method includes receiving stochastic information including values for a plurality of trials for use in a stochastic information system, encoding the stochastic information as a string representing the values for the plurality of trials, and storing the encoded stochastic information for use by the stochastic information system.07-09-2009
20110202494METHOD AND APPARATUS FOR VEHICLE COMPONENT HEALTH PROGNOSIS BY INTEGRATING AGING MODEL, USAGE INFORMATION AND HEALTH SIGNATURES - A system and method for determining the health of a component includes retrieving measured health signatures from the component, retrieving component usage variables, estimating component health signatures using an aging model, determining an aging derivative using the aging model and calculating an aging error based on the estimated component health signatures, the aging derivative and the measured health signatures.08-18-2011
20100076922DETECTING BULK FRAUDULENT REGISTRATION OF EMAIL ACCOUNTS - The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.03-25-2010
20100076921SIMILAR IMAGE PROVIDING DEVICE, METHOD AND PROGRAM STORAGE MEDIUM - There is provided a similar image providing device including: a lesion region extracting unit that extracts a lesion region from a subject diagnostic image; a local image feature extracting unit that extracts local image features; a quantizing unit that quantizes the local image features; a lesion classifying unit that classifies a lesion; a storing unit storing correlation coefficients between local image features and topic variables expressing degrees of progression or degrees of seriousness of lesions; an expected value estimating unit that acquires expected values of probabilities of occurrence of topic variables; an image storing unit that stores diagnostic images and the expected values; and a providing unit that provides diagnostic images corresponding to expected values of topic probabilities of occurrence that best approximate the expected values of the topic probabilities of occurrence.03-25-2010
20100076920Data Fusion Framework for Wide-Area Assessment of Buried Unexploded Ordnance - A data fusion framework is provided for wide-area assessments of unexploded ordnance. One or more wide-area survey data sources representing assessments of geographic sites that may contain unexploded ordnance (UXO) can be analyzed by a data source module as part of the data fusion framework. The data sources can include a geographic registration and a degree of belief and the data source module can register the data sources to a common map grid. A feature layer module can extract a plurality of feature layers from the wide-area survey data sources. A feature map module can generate a plurality of feature maps for each of the plurality of feature layers based on the degree of belief. Finally, a data fusion module can combine the plurality of feature maps and generate a plurality of output maps. This output maps can then be used by UXO site managers to support decisions regarding remediation efforts.03-25-2010
20120246107SYSTEM AND METHOD FOR EFFICIENT ALLOCATION OF RESOURCES IN VIRTUALIZED DESKTOP ENVIRONMENTS - A system and method for managing responsiveness of virtual desktops using passive monitoring includes measuring a time between an interactive desktop event and a result of the interactive desktop event. Based on the time, system resources are reallocated to improve the responsiveness.09-27-2012
20130085981METHODS AND APPARATUS FOR CONTROLLING DEPLOYMENT OF SYSTEMS - Methods and apparatus for controlling deployment of systems according to various aspects of the present invention operate in conjunction with at least one deployable asset, a scoring system, and an optimization system. The scoring and optimization systems provide an optimized solution to mission planning, asset positioning, and control of multiple entities within a geographic region. The system combines a scoring method with an optimization method to quickly select a globally optimal solution from a larger set of potential solutions.04-04-2013
20130085982ATTRIBUTE AND TOPOLOGY BASED CHANGE DETECTION IN A CONSTELLATION OF PREVIOUSLY DETECTED OBJECTS - A system that applies attribute and topology based change detection to networks of objects that were detected on previous scans of a structure, roadway, or area of interest. The attributes capture properties or characteristics of the previously detected objects, such as location, time of detection, size, elongation, orientation, etc. The topology of the network of previously detected objects is maintained in a constellation database that stores attributes of previously detected objects and implicitly captures the geometrical structure of the network. A change detection system detects change by comparing the attributes and topology of new objects detected on the latest scan to the constellation database of previously detected objects.04-04-2013
20130085983USING 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
20130080375ANOMALY DETECTION IN DATA CENTERS - Systems and methods of anomaly detection in data centers. An example method may include analyzing time series data for the data center by testing statistical hypotheses. The method may also include constructing upper and lower bounds based on the statistical hypotheses. The method may also include flagging anomalies in the time series data falling outside of the upper and lower bounds.03-28-2013
20130080376FUZZY INFERENCE APPARATUS AND METHODS, SYSTEMS AND APPARATUSES USING SUCH INFERENCE APPARATUS - A health monitoring system for complex networked apparatus includes a number of neuro-fuzzy inference apparatuses feeding inference results into a data fusion hierarchy. At each level in the hierarchy, fuzzy inference is applied to generate a desired output signal by processing selected input signals in accordance with a knowledge base defining fuzzy membership functions and fuzzy inference rules defined in advance. The knowledge base includes alternative definitions of membership functions and/or inference rules. The apparatus selects which definition to use according to environmental or other conditions, and predetermined selection criteria.03-28-2013
20130080377ONLINE ASYNCHRONOUS REINFORCEMENT LEARNING FROM CONCURRENT CUSTOMER HISTORIES - In one embodiment, an indication of a Decision Request or an Update Request may be received, where the Update Request is activated independent of user activity. A user state pertaining to at least one user may be received, obtained, accessed or constructed. For the Decision Request, one or more actions may be scored according to one or more value functions associated with a computing device, a policy associated with the computing device may be applied to identify one of the scored actions as a decision, and an indication of the decision may be provided or applied. For the Update Request, the one or more value functions and/or the policy may be updated. An indication of updates to the one or more value functions and/or an indication of updates to the policy may be provided.03-28-2013
20100036793Method and System for Geospatial Forecasting of Events Incorporating Data Error and Uncertainty - A system and method for geospatial forecasting of events that incorporates data error and uncertainty can be provided. The geospatial forecasting system can include a boundary module that is configured to define a geospatial boundary. A layer information and event information module can be provided that is configured to store layer information and event information related to the geospatial boundary. The event information can include location, or position, data about an event. Furthermore, a layer information and event information uncertainty module can be provided that is configured to incorporate data error into the layer information and event information. Finally, a geospatial forecasting module can be configured to receive the layer information and event information with the incorporated data error and process the layer information and event information to determine one or more future events.02-11-2010
20130036084METHOD AND APPARATUS FOR TRANSMITTING SPARSE SIGNAL, AND METHOD AND APPARATUS FOR RECOVERING SPARSE SIGNAL VIA BELIEF PROPAGATION AND BAYESIAN HYPOTHESIS TEST - Disclosed are a method and an apparatus for transmitting a sparse signal, and a method and an apparatus for recovering the sparse signal. The method for recovering a sparse signal by using a sparse signal recovering device that recovers a target signal from a received signal includes receiving a measurement signal with a noise signal from a sparse signal transmitting device which scans a target signal based on a measurement matrix, performing a mutual update procedure in which a likelihood probability is calculated by using a posterior probability of the target signal based on a relation between the target signal and the measurement signal, and the posterior probability is updated by using the likelihood probability, and recovering the target signal by performing maximum a posterior estimation for a final posterior probability output through the mutual update procedure.02-07-2013
20130080374SYSTEMS AND METHODS FOR GENERATING A FORECASTING MODEL AND FORECASTING FUTURE VALUES - Systems and methods are provided for generating a forecasting model based on a set of measured values. Consistent with certain embodiments, the forecasting model may include a seasonal function and a trend function. Further, consistent with other embodiments, the computer-implemented systems and methods may include computing the forecasting model by minimizing an error function representing the error between the forecasting model and the measured values. In addition, consistent with yet other embodiments, the computer-implemented systems and methods may include a process for outlier detection and removal based on a computation of residuals. Still further, consistent with some embodiments, systems and methods may be provided to filter the seasonality and/or the trend components to eliminate sudden variations in the model predictions resulting from sudden, large variations in the measurement values.03-28-2013
20100106677EMAIL ANALYSIS USING FUZZY MATCHING OF TEXT - Translation of text or messages provides a message that is more reliably or efficiently analyzed for purposes as, for example, to detect spam in email messages. One translation process takes into account statistics of erroneous and intentional misspellings. Another process identifies and removes characters or character codes that do not generate visible symbols in a message displayed to a user. Another process detects symbols such as periods, commas, dashes, etc., interspersed in text such that the symbols do not unduly interfere with, or prevent, a user from perceiving a spam message. Another process can detect use of foreign language symbols and terms. Still other processes and techniques are presented to counter obfuscating spammer tactics and to provide for efficient and accurate analysis of message content. Groups of similar content items (e.g., words, phrases, images, ASCII text, etc.) are correlated and analysis can proceed after substitution of items in the group with other items in the group so that a more accurate detection of “sameness” of content can be achieved. Dictionaries are used for spam or ham words or phrases. Other features are described.04-29-2010
20100106676EMPIRICAL MODELING OF CONFUSION MATRICES - A method and system of estimating the performance of a classifier system based on a reported confusion matrix includes, in one embodiment, parameters fit to observed confusion matrices, such that the expected performance of decision detection versus the probability of not-in-library reports can be estimated based on the forced decision confusion matrix. The approach also lends itself to a general methodology for modeling classes of confusers in a statistical manner, which can be extended to modeling clutter severity.04-29-2010
20100106675DATA DISAMBIGUATION SYSTEMS AND METHODS - Various embodiments provide a state-based, regular expression parser in which data, such as generally unstructured text, is received into the system and undergoes a tokenization process which permits structure to be imparted to the data. Tokenization of the data effectively enables various patterns in the data to be identified. In some embodiments, one or more components can utilize stimulus/response paradigms to recognize and react to patterns in the data.04-29-2010
20100106674Method and system for integrated analysis - A system and method of analysis, including, but not limited to: receiving raw data related to at least one project; receiving user preferences in at least one workflow, wherein each step in the a workflow constitutes a single instance of a component of a workflow such that the state of a unique component is always the same if the same component is comprised in other workflows; determining metrics related to the at least one project; analyzing the data & metrics to identify patterns; drawing conclusions from the data, metrics and patterns; and generating at least one report that presents the metrics, patterns and conclusions.04-29-2010
20130046727DYNAMIC OUTLIER BIAS REDUCTION SYSTEM AND METHOD - A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.02-21-2013
20130046726Determining whether a measurement signature is specific to a biological process - A “Specificity” statistic (or metric) is computed as a means to identify amplitude scores associated with a signature that can be attributed with high probability to a specific biological entity or process represented by the signature. Preferably, Specificity is computed by assessing a likelihood of a given null hypothesis, namely, that an amplitude score is not representative of the specific signature but, instead, is representative of a general trend in the applicable data set that can be measured by any signature that is comparable to the signature of interest. In a typical implementation, a first step to compute the Specificity metric is to construct a set of comparable signatures. Next, an amplitude score is computed for each of these signatures, preferably using the same data set. Then, the Specificity metric is computed, preferably as a two-tailed p-value, by placing the amplitude score for the signature of interest on a distribution of scores for the comparable signatures. Scores that have Specificity p-values less than a particular value, e.g., 0.05, are considered to be scores that can be attributed with high confidence to the signature of interest.02-21-2013
20130046725SYSTEMS AND/OR METHODS FOR FORECASTING FUTURE BEHAVIOR OF EVENT STREAMS IN COMPLEX EVENT PROCESSING (CEP) ENVIRONMENTS - Certain example embodiments described herein relate to forecasting the future behavior of event streams in Complex Event Processing (CEP) environments. For each received event in an event stream, a reference window indicative of a predefined temporal range during which the forecast is to be computed is updated so that the reference window ends with the received event, with the reference window moving with the event stream. Within this processing loop, when a forecasting update policy indicates that the forecast is to be updated based on the received event: a forecasting window indicative of a temporal range in which events are to be forecasted is updated; and while the time period of the forecasting window is not exceeded, (a) a next forecasted event is generated via at least one processor and (b) the next forecasted event is inserted into the forecast window; and the forecast window is published.02-21-2013
20130046724IDENTIFICATION OF SIGNIFICANT SEQUENCES OF FAULT CODES BY STATISTICAL HYPOTHESIS TESTING - In some aspects of the present application, a method for identifying significant events related to machine problems. The method includes receiving one or more machine problems; determining one or more machine problem classifications based on the one or more machine problems; generating a probability distribution that the one or more machines problems are related to the one more machine problem classifications; determining if one or more events are associated with the one or more machine problems during a predetermined time interval; and determining if the one or more events are significantly related to the one or more machine problem classifications using a statistical algorithm.02-21-2013
20120166381APPARATUS AND METHOD FOR DETECTING RISKY SITUATIONS - An apparatus for detecting risky situations includes a detection unit for detecting a risky situation and reporting the detected risky situation, and a control unit for analyzing and assessing the risky situation reported from the detection unit to take measures to the assessed risky situation.06-28-2012
20120166380SYSTEM AND METHOD FOR DETERMINING CLIENT-BASED USER BEHAVIORAL ANALYTICS - A method, system, and device for determining client-based user behavioral analytics includes monitoring for a predetermined behavioral event on a computing device. The predetermined behavioral event may be embodied as any event initiated by the user on the computing device such as the purchase of a product, selection of a web link, navigation to a website, etc. In response to an occurrence of the predetermined behavioral event, an affinity metric and an avidity metric are determined based on a frequency of the occurrences of the predetermined behavioral event. A behavioral index for the user is determined based on the affinity metric and the avidity metric. Additionally, in response to receiving a request for the behavioral index, the computing device may transmit the behavioral index to a content provider server or other remote computer and receive content from the content provider, which has been selected based on the user's behavioral index.06-28-2012
20100005050DATA FUSION USING CONSENSUS AGGREGATION FUNCTIONS - A fusion system fuses M rankings generated by M judges by (i) computing values of an aggregation function for items of the M rankings, the aggregation function including a sum of pairwise conjunctions of ranking values of different judges for an input item, and (ii) constructing an aggregation ranking based on the aggregation function values. In an illustrative application, the judges are different Internet search engines and the rankings are sets of search engine results generated for a query input to the search engines, and a consensus search result corresponding to the query is defined by the aggregation ranking. In another illustrative application, the judges are different soft classifiers, and the rankings are probability vectors generated for an input object by the different soft classifiers, and the input object is classified based on a consensus probability vector defined by the aggregation ranking.01-07-2010
20090307176CLUSTERING-BASED INTEREST COMPUTATION - Data relating to usage patterns of the user are stored. The data includes a context portion having information as to the context in which items were used and an interest rating portion indicative of an interest of the user in one or more objects of interest. The data is clustered into clusters of data points. For each of the clusters, a centroid is determined. The centroid includes a context portion and an interest rating portion. A current context of the user is received. Clusters are selected by comparing a data point representing the current context with the context portion of one or more centroids. Based on the selected clusters, an interest rating is computed. The computed interest rating indicates an interest of the user in one of the one or more objects of interest, given the current context.12-10-2009
20130073509PREDICTING USER NAVIGATION EVENTS - A method and system for predicting a next navigation event are described. Aspects of the disclosure minimize the delay between a navigation event and a network response by predicting the next navigation event. The system and method may then prerender content associated with the next navigation event. For example, the method and system may predict a likely next uniform resource locator during web browsing to preemptively request content from the network before the user selects the corresponding link on a web page. The methods describe a variety of manners of predicting the next navigation event, including examining individual and aggregate historical data, text entry prediction, and cursor input monitoring.03-21-2013
20110066585EXTRACTING INFORMATION FROM UNSTRUCTURED DATA AND MAPPING THE INFORMATION TO A STRUCTURED SCHEMA USING THE NA VE BAYESIAN PROBABILITY MODEL - An “unstructured event parser” analyzes an event that is in unstructured form and generates an event that is in structured form. A mapping phase determines, for a given event token, possible fields of the structured event schema to which the token could be mapped and the probabilities that the token should be mapped to those fields. Particular tokens are then mapped to particular fields of the structured event schema. By using the Naïve Bayesian probability model, a “probabilistic mapper” determines, for a particular token and a particular field, the probability that that token maps to that field. The probabilistic mapper can also be used in a “regular expression creator” that generates a regex that matches an unstructured event and a “parameter file creator” that helps a user create a parameter file for use with a parameterized normalized event generator to generate a normalized event based on an unstructured event.03-17-2011
20130097113PRIORITIZING BRIDGES TO REPAIR BASED ON RISK - Embodiments of the invention are generally directed toward methods, systems, and computer-readable media for prioritizing bridge repairs using a risk-based analysis. An overall risk factor is generated for each of a plurality of bridges. The overall risk factor represents the probability of failure times the consequence on failure for the bridge. Repairs to bridges that pose a greater risk may be prioritized before repairs made to bridges posing a lower risk.04-18-2013
20120226653METHOD OF CONTAMINANT PREDICTION - Disclosed is a method of selectively predicting hydrocarbon concentration in a sample of unknown hydrocarbon concentration (the unknown sample). The method comprises the steps of: (i) separately subjecting two or more samples of known hydrocarbon concentration to infrared (IR) radiation; (ii) separately detecting an IR signal from the samples of known hydrocarbon concentration; (iii) analysing the IR signals using a multivariate chemometric technique to produce a training data set; (iv) generating a predictive model for hydrocarbon concentration based on the training data set; (v) subjecting the unknown sample to infrared (IR) radiation; (vi) detecting an IR signal from the unknown sample; (vii) applying the predictive model to the IR signal from the unknown sample; and thereafter (viii) selectively predicting hydrocarbon concentration in the unknown sample. Also disclosed is a method for generating a model to selectively predict hydrocarbon concentration in a sample of unknown hydrocarbon concentration and a software program for selectively predicting hydrocarbon concentration from inputted IR signal data of an unknown sample.09-06-2012
20120226652Event prediction - A selected set of one or more first events that have occurred within current data is received. An episode set of which the selected set is a subset, the episode set including one or more second events that have occurred within historical data related to the current data is identified. One or more third events that occurred within the historical data within a predetermined time horizon after the one or more second events of the episode set occurred within the historical data are identified. The one or more third events are predicted to likely occur within the current data as a result of the one or more first events having occurred within the current data.09-06-2012
20120226651SYSTEM AND METHOD FOR RECOMMENDING ITEMS IN MULTI-RELATIONAL ENVIRONMENTS - A system, method, and computer program product for making a recommendation to a user of a social network to associate an existing tag with a social media entity instance are provided. The method includes generating a random walk model that includes the social media entity instance for at least a portion of the social network, determining weighted values for the random walk model, generating a weighted random walk model based on the random walk model and the weighted values, performing a random walk on the weighted random walk model starting at the social media entity instance, and recommending an existing tag to the user based on the random walk.09-06-2012
20110022564Adaptive Knowledge Lifecycle Management Methods - In accordance with the embodiments described herein, methods for adaptive knowledge lifecycle management and associated services supplied to customers are described. Adaptive knowledge lifecycle management provides a means for beneficially adapting knowledge assets and their organizing structures, including workflow. The adaptive features may be based on inferences of preferences derived from user behaviors, or inferences of knowledge asset subject matter. Fees may be established and charged for performing adaptive knowledge lifecycle management services.01-27-2011
20120117019RELATIONSHIP ANALYSIS ENGINE - A relationship analysis engine includes a controller and a data miner to mine relationship information on a network. Sender nodes can be determined by the data miner or otherwise manually defined. Recipient nodes can be determined by the data miner or otherwise manually defined. An actionable analytics section analyzes messages that are transmitted between the sender nodes and the recipient nodes. The actionable analytics section produces historical analytics, real-time analytics, and predictive analytics associated with at least one relationship based on the analyzed transmitted messages and the mined relationship information. A relationship indicator is produced and displayed to represent the past, present, and predictive quality of relationship values associated with a relationship. The quality of relationship value can be determined, in part, by scores associated with waypoints in transitions between one quality of relationship value to another.05-10-2012
20120117018METHOD FOR THE SYSTEMATIC EVALUATION OF THE PROGNOSTIC PROPERTIES OF GENE PAIRS OF MEDICAL CONDITIONS, AND CERTAIN GENE PAIRS IDENTIFIED - A method is proposed identification of pairs of genes for which the respective gene expression values in a subject are statistically significant in relation to a medical condition, for example cancer, or more particularly breast cancer. Many pairs of genes are generated, and for each pair of genes clinical data is used to fit a statistical model to obtain the statistical significance of the ratio of the corresponding expression values. The clinical data characterizes for each of the patients the level of expressions of the genes and times until a clinical endpoint of interest.05-10-2012
20130166492Digital Rights Management Using a Digital Agent - A method for digital rights management includes a digital agent for contacting a media host. Media content is compared to a user profile and an identification confidence level is assigned to the media based on the comparison. A digital agent contacts a host of the media based on the identification confidence level, the type of media, and the context of the media. The digital agent requests one or more actions of a media host based on user designations concerning information related to the media. The identification confidence level is generated based on a plurality of user characteristic confidence levels which are generated based on media being analyzed.06-27-2013
20130166493METHOD AND SYSTEM FOR ONLINE FERRORESONANCE DETECTION - The invention concerns a method and a system for online ferroresonance detection in a high voltage electrical distribution network. The method includes: 06-27-2013
20110035351SYSTEM AND A METHOD FOR AN ONLINE KNOWLEDGE SHARING COMMUNITY - A method for an online community, wherein the community members share their knowledge fields, together, thereby forming a collective knowledge pool which can be browsed and searched through by members and non-member online knowledge seekers and instantly connecting between people and groups wishing to share knowledge. The method includes subscribing by a plurality of browsers to a proprietary Website having a knowledge center server, the subscribers thereby becoming knowledge providing (client) members, providing an applicable client software program to each of the members and making online knowledge providers accessible through searching and browsing the collective knowledge pool. The method also includes the server maintaining each of the member's online/offline status indication, a knowledge seeker clicking when a relevantly knowledgeable member is online and thereby connecting with this live person to access his knowledge by online chat or other means. The connecting is through the server.02-10-2011
20110282824TECHNOLOGIES FOR MAPPING A SET OF CRITERIA - A computerized system with charting capability for development, backtesting and technical analysis of strategies based on criteria used for decision making. The system receives and saves data parameters at different times from external devices. The system uses a method to determine a Probability Indicator from a set of criteria, which may be used to fully map a strategy over time. The method may further be used to visually map a strategy as a graph, which may be regarded as a visual backtest of the strategy. Such graph may be drawn on a chart using the time line of the chart, for the user to compare with the on-chart technical indicators and technical analysis. The Probability Indicator may further be represented as a chart, representing a strategy as a chart, which may be used to perform traditional technical analysis on a strategy. The system further provides a method by which the user, by using a check box, may activate/deactivate a criterion in a strategy updating the Probability Indicator, thereby providing a method for non-programmers to on-the-fly and by a single mouse click, to modify and backtest a strategy with a full map of the strategy. The system further provides a print out of statistical information of the backtest.11-17-2011
20130024415Monitoring Method Using Kernel Regression Modeling With Pattern Sequences - A method for monitoring the condition of an object includes obtaining reference data that indicates the normal operational state of the object, and obtaining input pattern arrays. Each input pattern array has a plurality of time-ordered input vectors, while each input vector has input values representing a plurality of parameters indicating the current condition of the object. Then at least one processor generates estimate values based on a calculation that uses an input pattern array and the reference data to determine a similarity measure between the input values and reference data. The estimate values are compared to the corresponding input values so that resulting values from the comparison can be used to determine the condition of the object.01-24-2013
20100274754CLUSTER AND DISCRIMINANT ANALYSIS FOR VEHICLES DETECTION - A method is provided herein for determining and recognizing types of vehicles passing a check point. The method takes advantage of an EM algorithm which is up-loaded into a CPU and which processes data of the vehicles which drive past a checkpoint, the data being representative of essential characteristics of vehicles to produce an output model of the traffic volumes of the various types of vehicles. This model enables the forecasting of future road maintenance costs and the planning and designing of future road networks10-28-2010
20120089554ESTIMATING A STATE OF AT LEAST ONE TARGET USING A PLURALITY OF SENSORS - The method includes receiving a plurality of target observations from a respective plurality of sensors and using the target observations to compute target state estimates. Each of the target state estimates is assessed to check if it suffers from one of a set of modelled possible fault types. The target state estimates are adjusted to compensate for any modelled fault type when it is assessed to be suffering from that fault type. A reliability value is computed for each of the target state estimates and the target state estimates are fused together based on the computed reliability values to produce a fused target state estimate.04-12-2012
20120290526Method and System for Association and Decision Fusion of Multimodal Inputs - A computer-based system and method to improve the multimodal fusion output at the decision level is disclosed. The method proposes computation of a confidence weighted measure for the individual score values obtained for each modality and fuse these new updated scores to get the final decision. These confidence weights are the performance parameters (measured in terms of F-measure) during the offline training step. The process significantly increases the accuracy of the multimodal system.11-15-2012
20120290525Recursive bayesian controllers for non-linear acoustic echo cancellation and suppression systems - Both a cascade and a multichannel joint Bayesian estimator are provided for suppressing acoustic echo. An expansion basis (Power/Fourier series) is selected to convert a sample-based input signal x11-15-2012
20110137847CAUSAL MODELING FOR ESTIMATING OUTCOMES ASSOCIATED WITH DECISION ALTERNATIVES - A method and system for estimating potential future outcomes resulting from decision alternatives is presented to enable lenders to make lending related decisions. The estimation is based on a propensity score variable that encompasses an effect of multiple covariates associated with one or more individuals for whom the estimation is being performed. For consistency with empirical testing, the estimation approach assumes conditions of unconfoundedness and localized common support. According to the unconfoundedness assumption, for a given variable, the potential outcomes are conditionally independent of the decision alternatives. According to the localized common support assumption, an overlap is ensured between individual accounts that are categorized together as potentially having the same future outcome. The outcomes and an effect (e.g. comparison) of the outcomes may be displayed graphically.06-09-2011
20120066173WATERCRAFT AUTOMATION AND AQUATIC EFFORT DATA UTILIZATION - Watercraft automation and aquatic data utilization for aquatic efforts are disclosed. In one aspect, an anchor point is obtained and a watercraft position maintenance routine is actuated to control the watercraft to maintain association with the anchor point. In another aspect, prior aquatic effort data is obtained in association with an anchor point. In yet another aspect, current aquatic effort data is generated in association with an anchor point. In still another aspect, current aquatic effort data and prior aquatic effort data are utilized for prediction generation. In yet another aspect, current aquatic effort data and prior aquatic effort data are utilized to obtain another anchor point for a watercraft.03-15-2012
20090150325System and method for root cause analysis of the failure of a manufactured product - A system, method and computer program product for the root cause analysis of the failure of a manufactured product is disclosed. The present invention includes the development of a knowledge model, based on information obtained from historical warranty claim forms and various manufacturing data sources. The invention also includes processing text information in a free-form text that is obtained from warranty claim forms by using text-tagging and annotation techniques. Thereafter, the knowledge model is converted to a Bayesian network. The present invention provides a user interface to select parameters and corresponding instances from current warranty claim forms. The selected parameters and corresponding instances are used as input evidence for the Bayesian network. The present invention facilitates the process of drawing inferences for root cause analysis of the failure of manufactured products and corresponding probabilities.06-11-2009
20110289044FOOD PREPARATION SYSTEM AND METHOD - A system and method for the preparation of food is provided. The system utilizes a nutritional information module which allows nutritional information to be aggregated for an entire menu along with portion information and the ability to adjust serving weight by preferred caloric value for any individual recipe. The system also utilizes a scheduler module which compiles task information for any individual recipe items per paragraph. The schedule module may have any plurality of different task times including a passive task time and/or an active task time and may time stamp the time it takes to prepare any specific recipe. The schedule may compile cook information and store information in a memory bank for analysis of the individual cook's cooking style and cook time. Moreover, the system may also provide a feedback module which uses personal time co-efficients to predict how long it should take for any particular menu choice preparation. Additionally, the system may include any of a recipe data module, organizer module, shopping assistant modules and a recommendation module to help the individual cook decide of menu pairings for any particular recipe as well as source and purchase recipes, required ingredients, and required cookware and utensils.11-24-2011
20110289042Integrative Framework for Three-Stage Integrative Pathway Search - Processes for constructing improved networks, such as Bayesian networks, of putative biomolecular pathways, that can e used to identify candidate biomolecular targets for validation as drug development targets, and the like; networks prepared thereby, use of the networks to predict the effect of biomolecule perturbations on cell phenotypes, and microprocessors and data processing systems programmed to automate the processes and software having instructions for performing the processes.11-24-2011
20090198641System and method for forecasting real-world occurrences - A method of predicting the occurrence of crime is provided, where information relating to prior transactions is provided, and where each transaction is a past incident where law enforcement units were involved. A set of analysis parameters relating to details associated with the incident may be selected and conditions associated with respective analysis parameters are selected. Further, at least one pivot variable may be selected, each pivot variable corresponding to one or more analysis parameters, and a frequency of the occurrence of the past incidents in relation to the pivot variables may be computed. Thus, a probability of a future incident occurring may be determined based on existence of a condition related to the pivot variable.08-06-2009
20110295789Context-Sensitive Dynamic Bloat Detection System - Methods and apparatus are provided for a context-sensitive dynamic bloat detection system. A profiling tool is disclosed that selects an appropriate collection implementation for a given application. The disclosed profiling tool uses semantic profiling together with a set of collection selection rules to make an informed choice. A collection implementation, such as an abstract data entity, is selected for a given program by obtaining collection usage statistics from the program. The collection implementation is selected based on the collection usage statistics using a set of collection selection rules. The collection implementation is one of a plurality of interchangeable collection implementations having a substantially similar logical behavior for substantially all collection types. The collection usage statistics indicate how the collection implementation is used in the given program. One or more suggestions can be generated for improving the collection allocated at a particular allocation context.12-01-2011
20110302128SYSTEM AND METHOD FOR DISAMBIGUATING NON-UNIQUE IDENTIFIERS USING INFORMATION OBTAINED FROM DISPARATE COMMUNICATION CHANNELS - The disclosure describes systems and methods for disambiguating a non-unique identifiers of real world entities (RWEs) detected by a computing network by dynamically identifying relationships between RWEs known to the network. The relationships are determined based on social, spatial, temporal and logical information known about the RWEs based on the RWEs previous interactions with the network. These relationships are then used to generate a probability for each RWE that the non-unique identifier identifies that RWE. Based on the probabilities an RWE is selected and the proper network identifier may be used in place of the non-unique identifier.12-08-2011
20110302127Method for identifying network similarity by matching neighborhood topology - A method of computing a measure of similarity between nodes of first and second networks is described. In particular, sets of pairwise scores are computed to find nodes in the individual networks that are good matches to one another. Thus, a pairwise score, referred to as R12-08-2011
20110302126EVALUATION PREDICTING DEVICE, EVALUATION PREDICTING METHOD, AND PROGRAM - Disclosed herein is an evaluation predicting device including: an estimating section configured to define a plurality of first latent vectors, a plurality of second latent vectors, evaluation values, a plurality of first feature vectors, a plurality of second feature vectors, a first projection matrix, and a second projection matrix, express the first latent vectors and the second latent vectors, and perform Bayesian estimation with the first feature vectors, the second feature vectors, and a known the evaluation value as learning data, and calculate a posterior distribution of a parameter group including the first latent vectors, the second latent vectors, the first projection matrix, and the second projection matrix; and a predicting section configured to calculate a distribution of an unknown the evaluation value on a basis of the posterior distribution of the parameter group.12-08-2011
20110302125SYSTEMS AND METHODS FOR VIRTUAL SUB-METERING - The present inventors devised, among other things, systems and methods for estimating the energy usage of individual appliances based on cumulative household energy usage data and energy consumption profiles of the appliances. One exemplary system receives cumulative or aggregate energy usage for a building or other structure including a set of two or more appliances having different load ratings. Based on the aggregate energy usage and predefined usage profiles for the appliances, the exemplary system estimates individual energy usage of the appliances. In one embodiment, the system estimates individual energy usage of the appliances using a Bayesian estimator and displays the usage estimates, referred to as virtual submeter readings, on a graphical user interface.12-08-2011
20110302124Mining Topic-Related Aspects From User Generated Content - Described herein is a technology that facilitates efficient automated mining of topic-related aspects of user generated content based on automated analysis of the user generated content. Locations are automatically learned based on dividing documents into document segments, and decomposing the segments into local topics and global topics. Techniques described herein include, for example, computer annotating travelogues with learned tags, performing topic learning to obtain an interest model, and performing location matching based on the interest model.12-08-2011
20110302123SYSTEM AND METHOD FOR SCORING STREAM DATA - A feed combine is provided which receives a feed including content from at least one data source. One of a plurality of scoring methods is selected for scoring the content in the feed based on a velocity of the feed. A determination is made as to which content in the feed is appropriate for display by producing a score using the selected scoring method. The scoring method uses a plurality of weighted scoring factors which alter the score based on whether the content includes objectionable material determined in accordance with user-defined criteria. A determination is made as to whether content is to be rendered on at least one rendering device based on a score assigned to the content.12-08-2011
20090327202PREDICTION OF FUNCTIONAL AVAILABILITY OF COMPLEX SYSTEM - A method, system, and computer program product for predicting the functional availability of a complex system is provided. Parameters of the complex system are converted from a plurality of binary values to at least one prognostic vector. At least a portion of a binary input expression is converted into an equivalent fuzzy output expression, the fuzzy output expression operable on the at least one prognostic vector.12-31-2009
20100036794CASE GENERATION APPARATUS AND CASE GENERATION METHOD - A computer-readable recording medium stores a case generation program that allows a computer to execute a process of generating a case having one or more design variable values and one or more object variable values corresponding to the design variable values, the process including: acquiring, from a storage section, a plurality of past cases which are obtained through a past evaluation process; predicting the object variable value of the past cases from the design variable values of the acquired past cases; calculating a prediction error and confidence as the prediction result of the past cases; selecting a reference case being a past case used as a reference of the generation based on the calculated prediction error and the confidence; determining a new design variable value based on the design variable value of the selected reference case; and determining a new case based on the new design variable value.02-11-2010
20100036792Image Processing Apparatus, Image Processing Method, and Computer Program - An information processing apparatus includes information input units, an event detecting unit, and an information-integration processing unit. Observed values including user identification data are obtained based on image and sound information from the information input units such as a camera and a microphone. Target data set with plural user confidence factors is updated and user identification is then performed. The user identification information in the observed values is used for updating the simultaneous occurrence probability of candidate data by which targets are corresponded with respective users. The updated value of such probability is used for calculating the user confidence factors corresponding to the targets.02-11-2010
20090313203PREDICTIVE WIKI OPTIMIZATION SOFTWARE APPLICATION - A method, system, and device readable medium for running a predictive wiki optimization application is disclosed. The optimization application provides an improved decision-making or valuation method for formalizing and systematizing the decision-making or valuation process. The application leverages collective knowledge about a field of endeavor in order to yield better decisions or more accurate valuations. In some embodiments, the application represents an application of predictive markets within a wiki-style wrapper.12-17-2009
20110218955Evaluation of Client Status for Likelihood of Churn - System, including method, apparatus, and computer-readable media, for evaluating client status for a likelihood of churn. Client data may be received, with the client data representing events from a set of different event types performed by clients. Parameters of a statistical model that describes client behavior may be estimated using a computer and based on the client data. A churn type of event may be encoded in the statistical model as an absorbing state of a stochastic process, with a time of transition to the absorbing state modeled as being infinite. At least one of the parameters may correspond to the churn type of event. A likelihood of churn may be calculated for a plurality of the clients at one or more time points using the statistical model and its estimated parameters.09-08-2011
20110218956METHODS OF DIAGNOSING INFLAMMATORY BOWEL DISEASE - The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with inflammatory bowel disease (IBD) or a clinical subtype thereof. In particular, the present invention is useful for classifying a sample from an individual as an IBD sample using a statistical algorithm and/or empirical data. The present invention is also useful for differentiating between a clinical subtype of IBD such as Crohn's disease (CD) and ulcerative colitis (UC) using a statistical algorithm and/or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBD or a clinical subtype thereof and prognostic information useful for guiding treatment decisions.09-08-2011
20110191281APPARATUS AND METHOD FOR PREDICTING CHANNEL STATUS BASED ON COGNITIVE RADIO - There is provided an apparatus for predicting a channel status, the apparatus including: an input means for receiving information on previous status of a predetermined channel to be predicted; a parameter calculating means for calculating a model parameter that maximizes an occurrence probability of the received previous status; a likelihood calculating means for calculating a likelihood value for each status, based on the calculated model parameter; and a channel predicting means for selecting a previous status having a highest calculated likelihood among the received previous statuses and deciding the selected previous status as a next channel status of the channel.08-04-2011
20090150324Accurately inferring physical variable values associated with operation of a computer system - One embodiment of the present invention provides a system that monitors a physical variable associated with an electronic component within a computer system. During operation, the system receives telemetry signals of the physical variable which are collected by one or more physical sensors associated with the electronic component. The system also collects electromagnetic interference (EMI) signals generated by the electronic component. Next, the system builds an inferential model for the physical variable by correlating the EMI signals with the telemetry signals. The system then uses the inferential model to infer values for the physical variable from the EMI signals.06-11-2009
20090144218METHOD AND APPARATUS FOR PERFORMING PROBABILISTIC INFERENCE AND PROVIDING RELATED SOLUTION METHODS - A method, apparatus and computer program product for performing probabilistic inference and providing related solution methods is presented. At least one state space (SS) is obtained for variables of interest relating to a problem of interest. None or more densities (D) defining pure functions over locations in the at least one SS are also obtained as is none or more kernels (K) defining a stochastic walk through the at least one SS. A virtual machine executes a stochastic walk through the state space to produce a solution for a problem of interest.06-04-2009
20090150326SMART AGENT FOR EXAMINATION OF AN APPLICATION - A system, method, and article for profiling an applicant, an examiner, and agency or examination group for the purposes of examination of an application that undergoes a regulated or structured examination. One aspect of the invention can provide a greater degree of predicting success or potential success based on identifying a data factor that has a potential influence upon success of the application. Another aspect uses statistical methods or logic from a fuzzy inference system to analyze data factors. One example is directed towards the filing and prosecution of intellectual property documents such as patent and trademark applications.06-11-2009
20100114812NAME CLASSIFIER TECHNIQUE - A particular technique for classifying a name includes accessing a name; dividing the name into a series of first n-grams; forming multiple concatenated second n-grams by concatenating pairs of the first n-grams; for each of multiple groups, for each of the second n-grams, determining the term frequency-group frequency score; for each of the multiple groups, summing up the term frequency-group frequency scores for each second n-gram for that group; and determining a likelihood that the name belongs to one group of the multiple groups based on the summed scores, wherein a largest summed score indicates a greater likelihood that the name belongs to the one group.05-06-2010
20120109873ADMISSION CONTROL IN CLOUD DATABASES UNDER SERVICE LEVEL AGREEMENTS - An admission control system for a cloud database includes a machine learning prediction module to estimate a predicted probability for a newly arrived query with a deadline, if admitted into the cloud database, to finish its execution before said deadline, wherein the prediction considers query characteristics and current system conditions. The system also includes a decision module applying the predicted probability to admit a query into the cloud database with a target of profit maximization with an expected profit determined using one or more service level agreements (SLAs).05-03-2012
20120109872WIRELESS MOTION SENSOR NETWORK FOR MONITORING MOTION IN A PROCESS, WIRELESS SENSOR NODE, REASONING NODE, AND FEEDBACK AND/OR ACTUATION NODE FOR SUCH WIRELESS MOTION SENSOR NETWORK - Wireless motion sensor network for monitoring motion in a process comprising at least one wireless sensor node for measuring at least one physical quantity related to motion or orientation, feature extraction means for deriving a feature for the measured quantities, a wireless transmitter connected to the feature extraction means for transmitting the derived feature, and the wireless receiver receiving derived features from other sensor nodes, the network further comprising a reasoning node for collecting features transmitted by the at least one wireless sensor node comprising a collaborative reasoning engine for determining further features based on features received by a wireless receiver wherein the further features are determined by calculation and/or a rule set; and the wireless motion sensor network comprising a feedback and/or actuation means for intervening in or influencing a monitored process based on the output of the collaborative reasoning engine.05-03-2012
20120036102SYSTEMS AND METHODS FOR A PREDICTIVE NOTIFICATION ENGINE - Certain embodiments of the present invention provide a system for predictive notification including a notification engine adapted to receive a sequence of data values for a parameter from a medical device. The notification engine is adapted to determine a prediction based at least in part on the sequence of data values. The notification engine is adapted to generate a notification based on the prediction.02-09-2012
20090187528METHOD AND SYSTEM FOR ASSESSING RISK - A system and method for assessing a risk outcome that is affected by other risks. The risks and risk outcome are identified, and a relationship among the risks are defined where all of the risks directly or indirectly influence the risk outcome. An influence of each risk on at least one of the other risks or the risk outcome is defined. A portion of the risk relationship hierarchy and a subset of the risks is displayed graphically.07-23-2009
20120143814LOCATION ESTIMATION SYSTEM, METHOD AND PROGRAM - Location estimation systems, methods, and non-transitory computer program products. The system includes: storage means provided in the computer, means for storing the vector datasets in the storage means of the computer, means for calculating the similarity between the vector dataset without any location label and each neighboring vector dataset with a location label, by using any one of a q-norm where 0≦q≦1 and an exponential attenuation function, and means for estimating the location label of the vector data without any location label from the calculated similarities.06-07-2012
20090281978SYSTEMS AND METHODS FOR INTEGRATING USER-GENERATED CONTENT WITH PROPRIETARY CONTENT IN A DATABASE - A system for managing and displaying collaborative content in a database. The database is configured to store both editor-generated content and user-generated content. The system also includes a server interfacing with the database, a display device connected to the server, a editor content module interfacing with the database and configured to display the editor-generated content on the display device, a user interface module running on the sever, a user content module configured to receive the user input from the user interface module and display the user input as user-generated content on the display device, a validation module interfacing with the user content module, wherein the validation module is configured to verify the accuracy of the user-generated content, and a bias detection module interfacing with the user content module, wherein the bias detection module is configured to detect bias in the user-generated content.11-12-2009
20090276389SYSTEMS AND METHODS FOR RANKING NODES OF A GRAPH USING RANDOM PARAMETERS - A ranking approach is used to determine rank-based relationships. In connection with various embodiments, the present invention is directed to a method for ranking nodes of a graph. A vector is provided as a function of a set of random parameters, and a probability matrix function is used, relative to nodes of the graph, to assess the statistics of the vector that solves a probability-based system. Certain embodiments are directed to determining a page rank for a web-based search.11-05-2009
20090276388SYSTEM AND METHOD OF LOAD BALANCING USING FUZZY LOGIC - A system and method of load balancing using fuzzy logic and, more particularly, to a system and method of load balancing tasks over a grid environment including, for example, CPU utilization, traffic over a network and other functions. The method comprises defining cause and effect relations associated with input variables and output variables. A current utilization is assessed. The method further includes determining which cause and effect relations are associated with the current utilization and calculating a weighted balancing factor for the cause and effect relations having membership with the utilization. A load is balanced using the weighted balancing factor.11-05-2009
20090276387HYBRID FAULT REASONING AND GUIDED TROUBLESHOOTING SYSTEM - A fault reasoning system combines both a model-based reasoning approach based upon predicted root causes of a plurality of fault signals, and a case-based reasoner that looks at the actual root cause of actual cases.11-05-2009
20110270795RESOURCE CAPACITY MONITORING AND REPORTING - Embodiments provide capacity estimates for components of a computing environment, but are not so limited. In an embodiment, a computer-implemented method includes using residual capacity estimates and smooth averages to provide point-in-time capacity estimates for resources of a computing environment. In one embodiment, a computing environment includes a capacity manager that can operate under processor control to provide capacity estimates for a collection of resources as part of a capacity monitoring and planning process. Other embodiments are included and available.11-03-2011
20090281979SYSTEM AND METHOD FOR RECOGNIZING A KEYSTROKE IN AN ELECTRONIC DEVICE - The disclosure provides a system and a method of processing keystrokes entered on an electronic device. The method comprises: monitoring for activation of two or more keys on the keyboard; evaluating whether the activation of those keys occurs within a set window of time; evaluating locations of those keys. After these evaluations, if the keystroke conflict is determined to not have been produced, then characters for those keys are generated in order of their activations. If the keystroke conflict is determined to have been produced, then the method arbitrates between those keys to select a key utilizing a dictionary to automatically determine the key to be selected. In the dictionary, its entries are related to each of those keys combined with any previously entered keystrokes. The method then processes the selected key to generate on a display one character, which is associated with the selected key.11-12-2009
20090299946DATA VALIDATION AND CLASSIFICATION IN OPTICAL ANALYSIS SYSTEMS - A method of classifying information in an optical analysis system includes obtaining calibration data defining a plurality of data points, each data point representing values for two or more detectors when sampling a material used to construct a multivariate optical element. Based on the calibration data, one or more validation models can be developed to indicate one or more ranges of expected results. Validation data comprising the models can be used to compare data points representing values for two or more detectors when performing a measurement of a material to determine if the data points fall within an expected range. Classification data can be generated based on the comparison and, in some embodiments, one or more indicators, such as a confidence level in a measurement, can be provided.12-03-2009
20110270796ON-LINE AUTOREGRESSIVE PREDICTION IN TIME SERIES WITH DELAYED DISCLOSURE AND MONITOR SYSTEMS USING SAME - An apparatus operating on a time sequence of events comprises an event handling module configured to generate a predicted label for a current observed event of the time sequence of events, and a true label handling module configured to process a true label revealed for an observed event of the time sequence of events. The event handling module and the true label handling module cooperatively model stochastic dependence of a true label for the current observed event based on observed events of the time sequence of events and revealed true labels for past observed events of the time sequence of events. The event handling module and the true label handling module operate asynchronously. The event handling module and the true response handling module are suitably embodied by one or more digital processors.11-03-2011
20110208684COLLABORATIVE NETWORKING WITH OPTIMIZED INFORMATION QUALITY ASSESSMENT - A method for implementing information quality assessment includes receiving a value relating to a predicted outcome of an event from each of an entity and at least one other entity and a reputation score for the entity and the other entity. The method also includes generating a collective prediction value for the event that reflects a collective prediction for the event. The collective prediction value is generated from predicted outcome values from the entity and the other entity. The collective prediction value is calculated as a function of reputation scores corresponding to the entity and the other entity.08-25-2011
20100293130GENETIC ANALYSIS SYSTEMS AND METHODS - The present invention provides methods of determining a Genetic Composite Index score by assessing the association between an individual's genotype and at least one disease or condition. The assessment comprises comparing an individual's genomic profile with a database of medically relevant genetic variations that have been established to associate with at least one disease or condition.11-18-2010
20100223225Analog computation using numerical representations with uncertainty - Some general aspects relate to systems and methods of analog computation using numerical representation with uncertainty. For example, a specification of a group of variables is accepted, with each variable having a set of at least N possible values. The group of variables satisfies a set of one or more constraints, and each variable is specified as a decomposition into a group of constituents, with each constituent having a set of M (e.g., M09-02-2010
20100138377Systems 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.06-03-2010
20110270794ADAPTIVE BUSINESS PROCESS AUTOMATION - A method, system, and computer program product are provided for process automation. The method includes: monitoring one or more workstations including monitoring screen contents and user actions at the workstation; and analysing the screen contents and user actions into monitored functional events. The method further includes: providing multiple focal states as defined sequences of functional events with one or more facilitating scripts associated with a focal state, wherein a facilitating script provides one or more automatic actions; and matching a sequence of monitored functional events to a defined sequence of functional events of a focal state. The one or more automatic actions of a facilitating script associated with the matched focal state are then applied.11-03-2011
20080249975SYSTEM AND METHOD OF ADAPTIVE GENERATION OF PROBLEM DETERMINATION DECISION PROCEDURES - System, method, and program storage device for adaptive generation of problem determination decision procedures are provided. The decision procedures may be used, for example, for isolating problems and determining solutions to the problems in complex systems, such as IT systems and consumer electronics products. In one aspect, an optimal decision procedure is generated from an universal representation of system states and actions.10-09-2008
20130218825AUTOMATICALLY TRIGGERING PREDICTIONS IN RECOMMENDATION SYSTEMS BASED ON AN ACTIVITY-PROBABILITY THRESHOLD - A recommender system determines a probability threshold for an activity-prediction model, and uses the probability threshold to predict whether a user is performing a target activity. To determine the probability threshold, the system computes a set of activity probabilities based on contextual information for a set of historical activities, and based on an activity-prediction model for a target activity. The system then compares a set of probability thresholds with the set of activity probabilities to determine a prediction success rate for each probability threshold. The system computes a utility score for each probability threshold based on the prediction success rates and a utility function, and selects a probability threshold whose utility score is optimal amongst the utility scores of the set of thresholds and greater than or equal to a baseline utility score. The system then assigns the probability threshold to the activity-prediction model.08-22-2013
20130218826METHODS, COMPUTER-ACCESIBLE MEDIUM AND SYSTEMS FOR FACILITATING DATA ANALYSIS AND REASONING ABOUT TOKEN/SINGULAR CAUSALITY - Exemplary embodiments of exemplary methods, procedures, computer-accessible medium and systems according to the present disclosure can be provided which can be used for determining token causality. For example, data which comprises token-level time course data and type-level causal relationships can be obtained. In addition, a determination can be made as to whether the type-level causal relationships are instantiated in the token-level time course data, and using a computing arrangement. Further, exemplary significance scores for the causal relationships can be determined based on the determination procedure. It is also possible to determine probabilities associated with the type-level causal relationships using the token-level time course data and a probabilistic temporal model and/or type-level time course data when at least one of the type-level causal relationships have indeterminate truth values. The exemplary determination of the probabilities can be performed using a prior causal information inference procedure.08-22-2013
20080281770Classification Method and System for Small Collections of High-Value Entities - A method and system for classifying small collections of hi-value entities with missing data. The invention includes: collecting measurement variables for a set of entity cases for which classifications are known; calibrating standard weights for each measurement variable based on historical data; computing compensating weights for each entity case that has missing data, computing case scores for each of one or more dimensions as a sum-product of compensating weights and variables associated with each dimension; executing an iterative process that finds a specific combination of compensation weights that best classify the entity cases in terms of distinct scores; and applying a resulting model, which is determined by the specific combination of compensation weights, to classify other entity cases for which the classifications are unknown.11-13-2008
20090265297 DATA REDUCTION METHOD TO ADAPTIVELY SCALE DOWN BANDWIDTH AND COMPUTATION FOR CLASSIFICATION PROBLEMS - A method is provided for selecting features for classification that trades classification efficiency for computational resources. The method includes ranking a plurality of features of a training set according to how closely they are correlated to their corresponding classifications, receiving sensor data including a plurality of features, and selecting a subset of the features of the sensor data, according to the ranking of the features of the training data such that a computational resource cost of the subset is less than a predefined computational resource maximum and the degree of utility achieved by a classification of the subset of features by a selected classifier is optimized and exceeds a predefined utility minimum.10-22-2009
20080313125Paths and Distance in the Web Using a Behavioral Web Graph - A method for determining distance between two nodes in a network has steps for (a) creating a map of nodes in the network, the map having points representing pairs of nodes; (b) determining a probability at individual points that an entity connected to one of the nodes of the pair associated with the point will next connect to the other node associated with the point; (c) selecting a first and second node in the network for determining a distance; and (d) beginning with one of the two nodes selected, using the map with probabilities, determining the path of highest probability from the first node to the second node, regardless of the number of jumps required in the path, as the distance between the first and the second node.12-18-2008
20090119243Multivariate Analysis of Wireless Sensor Network Data for Machine Condition Monitoring - Machine condition monitoring on a system utilizes a wireless sensor network to gather data from a large number of sensors. The data is processed using a multivariate statistical model to determine whether the system has deviated from a normal condition. The wireless sensor network permits the acquisition of a large number of distributed data points from plural system modalities, which, in turn, yields enhanced prediction accuracy and a reduction in false alarms.05-07-2009
20100138379METHODS AND SYSTEMS FOR CIRCADIAN PHYSIOLOGY PREDICTIONS - Systems and methods are provided for predicting a circadian state of an individual. The methods comprise: providing a model representative of the response of the circadian state to light stimulus, the model comprising at least one model variable representative of a probability distribution function (PDF) of a phase offset of the circadian state of the individual; and using the model to estimate an updated PDF of the phase offset, wherein using the model to estimate the updated PDF of the phase offset comprises performing a Bayesian estimation process commencing with an initial PDF of the phase offset and iterating toward the updated PDF of the phase offset.06-03-2010
20100138378System and Method for Auto-Adaptive Network - An auto-adaptive system is provided that includes a template builder that allows weighted templates to be created for computing auto-adaptive features, an auto-adaptive event locator that analyzes a data set to identify events, an event extractor that locates and extracts identified events and provides events for review by an event analyzer (operator or programmed module) to distinguish clutter data from target data, and an auto-adaptive risk analyzer that processes data related to hit rates, false alarm rates, alarm costs, and risk factors to determine return on investment information and receiver operator characteristic curves.06-03-2010
20090119244Bootstrap method for oil property prediction - The present invention is a method to determine models to predict physical or chemical properties of a petroleum fluid when such properties of such fluids cannot be measured by conventional analytical methods. The invention includes the steps of determining one or more models that predict one or more predetermined properties from a set of oils whose optical spectra and properties are known wherein a model corresponds to each predetermined property which is related to the spectrum, estimating the quality of the models, estimating the predictive quality for samples with unknown properties, augmenting the spectrum with shape parameters and/or properties that are predicted by the step above, and determining the quality and predictive quality of the models. The models are then used to predict properties of very small samples.05-07-2009
20110208686Mass spectrometry precursor ion selection - The present invention is concerned with methods for the selection of precursor ions of a sample polypeptide for fragmentation in mass spectrometry, together with methods for determining at least one putative amino acid sequence for a sample polypeptide, apparatus and computer programs for same.08-25-2011
20110208685Motion Capture Using Intelligent Part Identification - Methods, systems, devices and arrangements are implemented for motion tracking. One such system for tracking at least one object articulated in three-dimensional space is implemented using data obtained from a depth sensor. The system includes at least one processing circuit configured and arranged to determine location probabilities for a plurality of object parts by identifying, from image data obtained from the depth sensor, features of the object parts. The processing circuit selects a set of poses for the at least one object based upon the determined location probabilities and generates modeled depth sensor data by applying the selected set of poses to a model of the at least one object. The processing circuit selects a pose for the at least one object model-based based upon a probabilistic comparison between the data obtained from the depth sensor and the modeled depth sensor data.08-25-2011
20090164407Monitoring a Service Oriented Architecture - Monitoring a service oriented architecture (SOA) comprising a plurality of components. The method may include providing at least one monitoring unit for at least one of the plurality of components. The method may further include providing data concerning an operation of the at least one component as input data to the at least one monitoring unit. Finally, the method may include applying fuzzy logic in the monitoring unit to analyze the input data for generating at least one output value. The at least one output value may then be provided.06-25-2009
20120197834ESTIMATING RELATEDNESS IN SOCIAL NETWORK - To facilitate the estimation of relatedness between nodes of a graph, implementations estimate relatedness between nodes in a graph by pre-computing for a subset of sample nodes (e.g., center nodes) a plurality of transition probabilities between each sample node and each of the other nodes in the graph, and then later when queried the implementations calculate in real-time the resultant estimated transition probability between the first node and the second node through the at least one sample node based on the pre-computed transition probabilities.08-02-2012
20090055344SYSTEM AND METHOD FOR ARBITRATING OUTPUTS FROM A PLURALITY OF THREAT ANALYSIS SYSTEMS - A method of arbitrating outputs from a set of threat analysis algorithms or systems. The method can include receiving threat outputs from different threat analysis algorithms. Each threat output can be assigned to a class membership. Rules can be applied based on the threat outputs and the respective class membership. Each rule can provide an amount of support mass to a hypothesis and an amount of uncertainty mass. The rules can have an associated priority value for weighting the masses. A combined belief value for each hypothesis and a total uncertainty value can be determined based on the provided masses. The method can further include generating a decision matrix of the hypotheses and combined belief values. A hypothesis can be selected from the decision matrix based on the combined belief value.02-26-2009
20090327201IDENTIFICATION OF POWER SYSTEM EVENTS USING FUZZY LOGIC - A method for analyzing an electrical power system using fuzzy logic includes: (a) acquiring data representing a signal of interest of the power system; (b) analyzing the signal using at least one fuzzy logic rule; and (c) based on the analysis, detecting and classifying at least one power system event within the power system.12-31-2009
20090006304CONTEXT BASED BOOKMARK - The present invention relates to a method and an apparatus for setting a bookmark for a resource accessed by a user, and for using the bookmark. The bookmarking method includes: collecting screen context information for the real text in the current screen of the resource in response to a request to bookmark the current screen of the resource; and storing address information and the screen context information of said resource as a bookmark to be used to return to said specific section of the resource. The method of providing a specific section of a resource based on a preset bookmark can include: downloading the resource content identified by said address information to a memory in response to a user's request to reopen the resource; collecting screen context information for the downloaded resource content; comparing the screen context information of the downloaded resource content with the screen context information indicated by said bookmark, selecting the specific section of the downloaded resource according to the rule of fuzz matching, and displaying the selected specific section of the resource in the display window.01-01-2009
20110145185SYSTEM AND METHOD FOR NETWORK SECURITY EVENT MODELING AND PREDICTION - A security tool is disclosed for predicting a sequence of events based on the current events observed. The security tool relies on sequential event mining algorithms to discover the baseline event patterns, from which a prediction can be performed. The security tool translates the sequential patterns into a Dynamic Bayesian Network prediction model. A temporal reasoning engine then feeds the model with the current event status and predicts what events are likely to happen in next time window, and with what probability.06-16-2011
20090198640FUZZY-LEARNING-BASED EXTRACTION OF TIME-SERIES BEHAVIOR - Systems and methods for extracting or analyzing time-series behavior are described. Some embodiments of computer-implemented methods include generating fuzzy rules from time series data. Certain embodiments also include resolving conflicts between fuzzy rules according to how the data is clustered. Some embodiments further include extracting a model of the time-series behavior via defuzzification and making that model accessible. Advantageously, to resolve conflicts between fuzzy rules, some embodiments define Gaussian functions for each conflicting data point, sum the Gaussian functions according to how the conflicting data points are clustered, and resolve the conflict based on the results of summing the Gaussian functions. Some embodiments use both crisp and non-trivially fuzzy regions and/or both crisp and non-trivially fuzzy membership functions.08-06-2009
20090049001DETECTION OF HOSTILE INTENT FROM MOVEMENT PATTERNS - An embodiment of the present invention relates to a method comprising identifying a suspect; determining that the suspect has moved a first distance in a target zone around a target during a first time period; determining a suspect-target distance between the suspect and the target; determining a suspect-potential destination distance between the suspect and a potential destination in the target zone for the suspect; determining that the suspect has moved a second distance in the target zone during a second time period; determining a suspect zone around the suspect; determining a movement characteristic index associated with the suspect zone when the suspect has moved the second distance, and determining, by a computer, a probability of hostility of the suspect, wherein the probability of hostility is obtained from the movement characteristic index and a ratio of the suspect-target distance and the suspect-potential destination distance.02-19-2009
20090248606METHOD FOR PREDICTIVE DETERMINATION OF A PROCESS VARIABLE - A system and method are disclosed for predictive determination of a process variable (P) in a technical installation. Measured values for the process variable (P) are recorded at predeterminable points in time. Temporally successive recorded measured values are combined to form a weighted measured value. A discrete measured value is assigned to each weighted measured value. A future temporal progression of the process variable (P) is estimated using a linear regression of the discrete measured values, and a point in time in which the process variable (P) reaches a predeterminable limit value is calculated.10-01-2009
20110145184METHODS AND SYSTEMS TO TRAVERSE GRAPH-BASED NETWORKS - Methods and systems to translate input labels of arcs of a network, corresponding to a sequence of states of the network, to a list of output grammar elements of the arcs, corresponding to a sequence of grammar elements. The network may include a plurality of speech recognition models combined with a weighted finite state machine transducer (WFST). Traversal may include active arc traversal, and may include active arc propagation. Arcs may be processed in parallel, including arcs originating from multiple source states and directed to a common destination state. Self-loops associated with states may be modeled within outgoing arcs of the states, which may reduce synchronization operations. Tasks may be ordered with respect to cache-data locality to associate tasks with processing threads based at least in part on whether another task associated with a corresponding data object was previously assigned to the thread.06-16-2011
20090063390SELF-LEARNING INTEGRITY MANAGEMENT SYSTEM AND RELATED METHODS - An integrity management system predicts abnormalities in complex systems before they occur based upon the prior history of abnormalities within the complex system. A topology of the nodes of a complex system is generated and data is collected from the system based on predetermined metrics. In combination with dynamic thresholding, fingerprints of the relevant nodes within a complex system at various time intervals prior to the occurrence of the abnormality are captured and weighted. The fingerprints can then be applied to real-time data provide alerts of potential abnormality prior to their actual occurrence.03-05-2009
20090063389Comparison of Decision Logic - A request to compare strategies is received. The first strategy can be graphically represented by a first set of linked nodes arranged in a first form of decision logic. The second strategy can be graphically represented by a second set of linked nodes arranged in a second form of decision logic. The first set of linked nodes can be converted to a first modified set of linked nodes arranged in a third form of decision logic. The second set of linked nodes can be converted to a second modified set of linked nodes arranged in the third form of decision logic. A visual representation of the first modified set of linked nodes and the second modified set of linked nodes can be provided to a user. Related apparatus, techniques, and articles are also described.03-05-2009
20120078836System and Method for Predicting Tornado Activity - A system that predicts current tornado activity has been developed. The system includes a processor that receives model data from a meteorological data source that indicates tornadic activity and generates a model data tornado potential index. The processor also receives radar data indicative of tornadic activity and generates a radar data tornado potential index using weighted values assigned to different components of the radar data, where the components of said radar data comprise, a tornado vortex signature (TVS) data value, a mesocyclonic activity (MESO) data value, a precipitation and intensity (dBz) data value, a vertically integrated liquid (VIL) data value, and hail size data value. The processor further generates a composite tornado potential index using weighted values of the model data tornado potential index and the radar data tornado potential index and stores the index in an electronic data storage media.03-29-2012
20120078835DATA BASED TRUTH MAINTENANCE METHOD AND SYSTEM - A truth maintenance method and system. The method includes receiving by a computer processor, health event data associated with heath care records for patients. The computer processor associates portions of the health event data with associated patients and related records in a truth maintenance system database. The computer processor derives first health related assumption data and retrieves previous health related assumption data derived from and associated with previous portions of previous health event data. The computer processor executes non monotonic logic with respect to the first health related assumption data and the previous health related assumption data. In response, the computer processor generates and stores updated first updated health related assumption data associated with the first health related assumption data and the previous health related assumption data.03-29-2012
20120078838SYSTEM AND METHOD TO MEASURE CONTINUED ENGAGEMENT WITH SOFTWARE APPLICATION - A computing device includes a database, software code, and a processor. The software code, when executed by the processor, causes the computing device to predict users continued engagement with an external software application. The predictive software application transmits a data request to a database of an external software application, the requested data corresponding to a plurality of engagement variables for a set of users of the external software application. The predictive software application receives extracted data for the plurality of application engagement variables and stores the extracted data in a prediction database. The predictive software application calculates a weighting factor, identifying impact on future use, for each of the plurality of application engagement variables based on the analyzing of the extracted data for the plurality of application engagement variables. The predictive software application transmits the plurality of application engagement variables and the corresponding weighting factor to the existing application.03-29-2012
20120078837DECISION-SUPPORT APPLICATION AND SYSTEM FOR PROBLEM SOLVING USING A QUESTION-ANSWERING SYSTEM - A decision-support system for problem solving comprises software modules embodied on a computer readable medium, and the software modules comprise an input/output module and a question-answering module. The method receives problem case information using the input/output module, generates a query based on the problem case information, and generates a plurality of answers for the query using the question-answering module. The method also calculates numerical values for multiple evidence dimensions from evidence sources for each of the answers using the question-answering module and calculates a corresponding confidence value for each of the answers based on the numerical value of each evidence dimension using the question-answering module. Further, the method outputs the answers, the corresponding confidence values, and the numerical values of each evidence dimension for one or more selected answers using the input/output module.03-29-2012
20110231357INTER-FACILITY MOVEMENT ESTIMATION APPARATUS, METHOD AND PROGRAM - In general, embodiments provide an inter-facility movement estimation apparatus including: a movement map which stores location information about facilities and movement times therebetween; a positioning unit which obtains user's location information when starting a movement; a movement candidate list which stores given movement path candidates; a movement situation estimating unit which estimates a user's movement situation; a movement path estimating unit which selects, whenever the movement situation is changed, estimated movement path candidates from the given movement path candidates based on the nearest facility and the user's movement situation; and an adjusting unit which changes the likelihoods of the estimated movement path candidates, wherein one of the estimated movement path candidates having a highest likelihood thereamong is specified as an actual movement path of the user.09-22-2011
20110231356FlexSCAPE: Data Driven Hypothesis Testing and Generation System - The present invention relates to a method for generating hypotheses automatically from graphical models built directly from data. The method of the present invention links three key scientific concepts to enable hypothesis generation from data driven hypothesis-models: including the use of information theory based measures to identify informative feature subsets within the data; the automatic generation of graphical models from the informative data subsets identified from step one; and the application of optimization methods to graphical models to enable hypothesis generation. The integration of these three concepts can enable scalable approaches to hypothesis generation from large, complex data environments. The use of graphical models as the model representation can allow prior knowledge to be effectively integrated into the modeling environment.09-22-2011
20090094183Predictive Monitoring Method and System04-09-2009
20080262992TYPE INFERENCE FOR OBJECT-ORIENTED LANGUAGES - Systems and methods facilitate type inference in a computer-programming environment. Type inference can be applied to generic method or function invocation in object-oriented languages to determine a type argument list left implicit by a programmer. One or more type arguments can be identified as a parameter type to which all other types in a set of associated parameter types can be converted.10-23-2008
20090012927SYSTEM 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.01-08-2009
20090210378TRUSTED DECISION SUPPORT SYSTEM AND METHOD - Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. Some embodiments perform complex systems modeling including performing massive correlative analyses of the data obtained from the multiple disparate data sources with current situational data obtained regarding the situation for which the decision support process is being utilized. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. In some embodiments the decision support system provides possible consequences that could result from a recommendation. In other embodiments the decision support system provides a list of tasks for acting upon a recommendation. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.08-20-2009
20090222400CATEGORIZATION AND FILTERING OF SCIENTIFIC DATA - The present invention relates to methods, systems and apparatus for capturing, integrating, organizing, navigating and querying large-scale data from high-throughput biological and chemical assay platforms. It provides a highly efficient meta-analysis infrastructure for performing research queries across a large number of studies and experiments from different biological and chemical assays, data types and organisms, as well as systems to build and add to such an infrastructure. According to various embodiments, methods, systems and interfaces for associating experimental data, features and groups of data related by structure and/or function with chemical, medical and/or biological terms in an ontology or taxonomy are provided. According to various embodiments, methods, systems and interfaces for filtering data by data source information are provided, allowing dynamic navigation through large amounts of data to find the most relevant results for a particular query.09-03-2009
20090222399TRUSTWORTHINESS ASSESSMENT OF SENSOR DATA PROCESSING - The present description refers in particular to a computer-implemented method, computer program product, and computer system for trust evaluation of sensor data during at least part of a sensor data life-cycle. The computer-implemented method may include evaluating an acquisition trust value (ATV) of sensor data at a sensor data acquisition module from at least one sensor node in a wireless sensor network (WSN), wherein the WSN comprises at least one sink, evaluating a delivery trust value (DTV) of sensor data at a sensor data delivery module from a sending entity to a receiving entity; and evaluating a processing trust value (PTV) at a sensor data processing module in a processing entity, to obtain a trust evaluation of the sensor data.09-03-2009
20090254509System and Method for Optimizing Development, Implementation and Management of Orders - A system and method is provided for developing, implementing and managing orders whereby a raw order set can be resolved into a canonical order set to identify at least one order within the one raw order set. A commonality analysis can be performed by comparing one canonical order set with another canonical order set to determine at least one common order subset. The canonical order sets sharing at least one common order subset can then be restructured into a hierarchical structure, and prioritized to minimize downstream processing.10-08-2009
20090248605NATURAL LANGUAGE PARSERS TO NORMALIZE ADDRESSES FOR GEOCODING - The present invention provides a technique for building natural language parsers by implementing a country and/or jurisdiction specific set of training data that is automatically converted during a build phase to a respective predictive model, i.e., an automated country specific natural language parser. The predictive model can be used without the training data to quantify any input address. This model may be included as part of a larger Geographic Information System (GIS) data-set or as a stand alone quantifier. The build phase may also be run on demand and the resultant predictive model kept in temporary storage for immediate use.10-01-2009
20120197835METHODS AND SYSTEMS FOR PREDICTING JOB SEEKING BEHAVIOR - Embodiments of the present invention analyze information available from social-media websites to predict the likelihood that a prospective candidate will become an active recruitement candidate.08-02-2012
20090240647METHOD AND APPRATUS FOR DETECTING PATTERNS OF BEHAVIOR - Systems, apparatus, techniques, and methods are disclosed for predictively adapting properties of devices as a function of a user's historical behaviors (e.g., habits) as well as the specific context within which such behaviors are displayed. Such context can be virtually anything, such as day of the week, time of day, season, tide, temperature, weather, the user's mood, the score of a particular sporting event from the previous day, the phase of the moon, the user's location, etc. Based on observation by software, the user's habits and the context within which those habits occur are observed and the device is customized based on the user's behavioral patterns and the context thereof09-24-2009
20090240646Method and Apparatus for Predicting the Failure of a Component - The invention provides a method and apparatus for predicting the failure of a component using a probabilistic model of a material's microstructural-based response to fatigue. The method predicts the component failure by a computer simulation of multiple incarnations of real material behavior, or virtual prototyping. The virtual prototyping simulates the effects of characteristics that include grain size, grain orientation, micro-applied stress and micro-yield strength that are difficult to simulate with real specimens. The invention provides an apparatus for predicting the response of a component to fatigue using the method.09-24-2009
20100179937METHOD AND APPARATUS FOR BEHAVIORISTIC-FORMAT CODING OF QUALITATIVE ANALOG DATA/DISTRIBUTED AUTOMATION PROTOCOL - A control apparatus provided as a dedicated control unit which enables a standard software protocol in digital qualitative analog process data presentation, useful in line businesses and utilities, etc., which use SI basic and derived analog units such as temperature, voltage, current, pressure, speed, velocity, radiation, vibration, noise and other analog measurements units. The individual data controller operates based on a digital Discrete Economic Modulation (DEM) principle, which is a general method introduced for averaging within a special behavioristic control loop and provides coherent, flexible data for monitoring, on-line decision making and discrete optimization using classic procedures such as regression and the simplex method. The raw data input is converted in accordance with the DEM method, averaged four times a day, and stored in a buffer as a standard rectangular matrix digital format in which the 24-hour calendar day is divided into four 6-hour disjointed segments/half-periods, to provide four mean numbers per calendar day or one number a day for each 6-hour data file, as four time history files for coherent and flexible analysis without time lag and PC-oriented processing, as a standard protocol model for data highway networks.07-15-2010
20090259615Efficient Processing in an Auto-Adaptive Network - Feature values, which may be multi-dimensional, collected over successive time slices, are efficiently processed for use, for example, in known adaptive learning functions and event detection. A Markov chain in a recursive function to calculate imputed values for data points by use of a “nearest neighbor” matrix. Only data for the time slices currently required to perform computations must be stored. Earlier data need not be retained. A data selector, referred to herein for convenience as a window driver, selects successive cells of appropriate adjacent values in one or more dimensions to comprise an estimation set. The window driver effectively indexes tables of data to efficiently deliver input data to the matrix. In one form, feature inputs are divided into subgroups for parallel, pipelined processing.10-15-2009
20080306896Detection of epidemic outbreaks with Persistent Causal-chain Dynamic Bayesian Networks - A method for determining a probability of a hidden variable from an observed variable in a Dynamic Bayesian Network is presented. The method includes identifying the network based on predetermined criteria, determining a number of hidden variables in a time slice of the network, determining a number of the time slices of the network, and determining the probability of the hidden variable from the observed variable in less than exponential time with respect to the number of hidden variables.12-11-2008
20080306895Method and System for Predicting Personal Preferences - The invention provides techniques for building multiple predictive models of individuals' affinities for attributes of objects and/or services. The accuracies of multiple predictive models are measured and the models are combined based on the measurements, resulting in a more accurate predictive model of individual-specific affinities for attributes of the objects and/or services.12-11-2008
20100185578SOCIAL NETWORK ANALYSIS WITH PRIOR KNOWLEDGE AND NON-NEGATIVE TENSOR FACTORIZATION - Systems and methods are disclosed to analyze a social network by generating a data tensor from social networking data; applying a non-negative tensor factorization (NTF) with user prior knowledge and preferences to generate a core tensor and facet matrices; and rendering information to social networking users based on the core tensor and facet matrices.07-22-2010
20100161544CONTEXT-BASED INTERESTS IN COMPUTING ENVIRONMENTS AND SYSTEMS - Techniques for determining an interest in an object of interest in a given situation are disclosed. Multiple situation-based interest rating components can be provided for various situations. Each situation-based interest rating component can include an interest value indicative of interest in an object of interest in one of the situations. An input situation can then be obtained. One of the situation-based interest rating components can be identified matching an input situation. The relevance of one or more of the other situation-based interest rating components to the identified matching component can then be determined. This can, for example, be done by computing one or more distances between only the respective situation-based portions of the matching situation-based interest rating component and one or more of the other components, or based on the interest value-based portion of each component, or both.06-24-2010
20100185579USER-BASED COLLABORATIVE FILTERING RECOMMENDATION SYSTEM AND METHOD FOR AMENDING SIMILARITY USING INFORMATION ENTROPY - The present invention relates to a user-based collaborative filtering recommendation method and system and, more specifically, relates to a user-based collaborative filtering recommendation method and system which amends the similarity between the recommend probable user and the other user to improve the accuracy in the prediction of preference by using the relation between the user preference information entropies of the recommend probable user and the other user.07-22-2010
20100185580COMPATIBILITY SCORING OF USERS IN A SOCIAL NETWORK - The compatibility score of individuals in a social network is computed based on the compatibility of interests expressed by these individuals. The compatibility score between any two interests is calculated as the log of the estimated probability that a member of the social network will express both interests as his or her interests divided by the product of: (i) the estimated probability that a member of the social network will express the first of the two interests as his or her interest and (ii) the estimated probability that a member of the social network will express the second of the two interests as his or her interest. The compatibility score between two individuals is calculated as the sum of the compatibility scores between each interest appearing in a set of interests expressed by the first of the two individuals and each interest appearing in a set of interests expressed by the second of the two individuals.07-22-2010
20100185577OBJECT CLASSIFICATION USING TAXONOMIES - As provided herein objects from a source catalog, such as a provider's catalog, can be added to a target catalog, such as an enterprise master catalog, in a scalable manner utilizing catalog taxonomies. A baseline classifier determines probabilities for source objects to target catalog classes. Source objects can be assigned to those classes with probabilities that meet a desired threshold and meet a desired rate. A classification cost for target classes can be determined for respective unassigned source objects, which can comprise determining an assignment cost and separation cost for the source objects for respective desired target classes. The separation and assignment costs can be combined to determine the classification cost, and the unassigned source objects can be assigned to those classes having a desired classification cost.07-22-2010
20100262575FASTER MINIMUM ERROR RATE TRAINING FOR WEIGHTED LINEAR MODELS - The claimed subject matter provides systems and/or methods for training feature weights in a statistical machine translation model. The system can include components that obtain lists of translation hypotheses and associated feature values, set a current point in the multidimensional feature weight space to an initial value, chooses a line in the feature weight space that passes through the current point, and resets the current point to optimize the feature weights with respect to the line. The system can further include components that set the current point to be a best point attained, reduce the list of translation hypotheses based on a determination that a particular hypothesis has never been touched in optimizing the feature weights from at least one of an initial staring point or a randomly selected restarting point, and output the point ascertained to be the best point in the feature weight space.10-14-2010
20100228696METHOD AND SYSTEM FOR REASONING OPTIMIZED SERVICE OF UBIQUITOUS SYSTEM USING CONTEXT INFORMATION AND EMOTION AWARENESS - A method and system for reasoning an optimized service of a ubiquitous system using context information and emotion awareness may be provided. The system for reasoning an optimized service of a ubiquitous system, the system including: a ubiquitous system unit to collect information about surroundings of a user; a context awareness unit to recognize a state of the user based on the information collected in the ubiquitous system unit, and to generate context information; an emotion awareness unit to recognize an emotion of the user based on the information collected in the ubiquitous system unit, and to generate emotion information; a combination unit to combine the context information and the emotion information; and a service selection unit to reason and select a service for the user based on the combination result of the combination unit.09-09-2010
20100217743ATTRIBUTE ESTIMATION SYSTEM, AGE ESTIMATION SYSTEM, GENDER ESTIMATION SYSTEM, AGE AND GENDER ESTIMATION SYSTEM AND ATTRIBUTE ESTIMATION METHOD - An attribute estimation system and a method in which there are no cases that the estimation accuracy declines in a specific numerical value area, and an age estimation system, a gender estimation system and an age and gender estimation system using this is provided.08-26-2010
20120271791COLLABORATIVE TARGETED MAXIMUM LIKELIHOOD LEARNING - A method is provided comprising: determining one or more initial distribution estimators of a true probability distribution; determining for each series of estimators of a nuisance parameter; generating candidate targeted estimators of the probability distribution for a targeted feature using an iterative modification of the initial distribution estimator(s) designed to reduce bias in the estimate of the target feature with respect to the initial distribution estimator, based on the series of estimators and the targeted feature; selecting one of the candidate estimators as an estimator for the true probability distribution for the targeted feature; and applying a mapping to the estimator for the true probability distribution or relevant portion thereof to obtain an estimated value for the targeted feature.10-25-2012
20120271790SYSTEM AND METHOD FOR MINING TAGS USING SOCIAL ENDORSEMENT NETWORKS - Descriptive data relating to at least a subset of a plurality of entities on a website is retrieved over a network. Endorsement data relating to the plurality of entities is retrieved from the website. A first set of probabilities is determined reflecting a probability that endorsements can be attributed to specific aspects. A second set of probabilities is determined reflecting a probability that terms can be attributed to aspects. Using the first set of probabilities and the second set of probabilities, a subset of the terms that are most probably associated with each entity are selected. Tags are then generated for each entity using the selected terms.10-25-2012
20100161545DATA INTEGRATION APPARATUS AND METHOD - Provided are a data integration apparatus and method using a weight factor. The data integration apparatus receives sensing information from at least one sensing device, the sensing information including a value indicating the existence of signals and confidence estimated parameters indicating the degree of confidence for the value indicating the existence of signals, and then generates the weighting factor based on the confidence estimated parameters. Then, the value indicating the existence of signals and the weighting factor are used to produce characteristic values of each sensing device and to finally determine the existence of signals.06-24-2010
20100145901MATRIX MARKER MODEL AND METHODS FOR ASSESSING AND TREATING ARTHRITIS AND RELATED DISORDERS - The invention relates to a method of determining the efficacy of the treatment for RA based on two to several characteristics known to correlate with negative outcomes in RA presented in a matrix, as well as a method of determining the efficacy of the treatment for RA based on preparing matrix table comprising two to several covariates which significantly correlate with radiological progression, where the matrix relates this profile of characteristics or covariates to the probability (risk) of negative outcomes under each of the alternative potential treatments, which can be done for a subject, for example, prior to the manifestation of other gross measurements of clinical response.06-10-2010
20090076999Methods of Characterizing Similarity Between Measurements on Entities, Computer Programs Product and Data Carrier - A method for characterizing the similarity between measurements on a plurality of entities comprising a first entity and a second entity comprises receiving measurements taken at a plurality of measurement points per entity. A model is defined comprising a stochastic process and a model function having values which depend on a set of parameters and the measurement points. A set (β) of parameters is estimated by fitting the model function to the measurements. Residual data is determined for at least a part of the plurality of measurement points for the first entity and the second entity by subtracting the fitted function from the measurements. A correlation coefficient for the first entity (i′) and the second entity (i″) is estimated based on the determined residual data and the estimated correlation coefficient is used to characterize the similarity between the measurements. The model is defined such that the residual data is expected to have a deterministic component which depends on the measurement points and that dominates the estimate of the correlation coefficient. The correlation coefficient is estimated using an estimate for the entity average residue averaged over the measurement points of the first entity and using an estimate for the entity average residue averaged over the measurement points of the second entity.03-19-2009
20120036101PREDICTIVE MODELS AND METHOD FOR ASSESSING AGE - Biomarkers useful for diagnosing and assessing physiological age are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. In a preferred embodiment, the biomarkers include a group of biomarkers whose expression levels are highly correlated to each other. In a preferred embodiment, expression levels of CD248; CD248 and SLC 1A7; CD248 and one, two, three or four of the group consisting of CCR7, B3GAT1, VSIG4 and LR-RN3; or CD248, SLC1A7 and one, two, three or four of the group consisting of CCR7, B3GAT1, VSIG4 and LRRN3 are determined.02-09-2012
20100241609PRIORITIZING BRIDGES TO REPAIR BASED ON RISK - Embodiments of the invention are generally directed toward methods, systems, and computer-readable media for prioritizing bridge repairs using a risk-based analysis. An overall risk factor is generated for each of a plurality of bridges. The overall risk factor represents the probability of failure times the consequence on failure for the bridge. Repairs to bridges that pose a greater risk may be prioritized before repairs made to bridges posing a lower risk.09-23-2010
20100241608Decision Support Systems and Methods for Complex Networks - Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.09-23-2010
20100241607Security and remote support apparatus, system and method - Systems and methods for the security and remote monitoring of computers are described. A computer monitoring system is provided which includes a computer hard drive, a thin client communicatively connecting a plurality of software associated with the computer hard drive with at least one remote virtual server, a central monitoring station communicatively connected to the thin client, and at least one BIOS monitor, at least partially resident locally to the computer hard drive, wherein the central monitoring station enforces at least one action upon execution of at least one alert from the at least one BIOS monitor.09-23-2010
20100235314METHOD AND APPARATUS FOR ANALYZING AND INTERRELATING VIDEO DATA - A method for automatically organizing data into themes including the steps of retrieving electronic video data from at least one video data source, separating the electronic video data into discrete packages based on the content of the data, converting speech data in the electronic video data into text data, storing the text data in a temporary storage medium, querying the text data from a temporary storage medium using a computer-based query language, identifying themes within the text data using a computer program including an statistical probability based algorithm.09-16-2010
20100235313Media information analysis and recommendation platform - A hybrid approach for personalized recommendation of subject matter description is described, comprising: inputting the description into an analyzing engine, the analyzing engine performing the steps of: extracting at least one of metadata, ID and Title from the description; tokenizing the description to generate tokenized data; normalizing the tokenized data to produce Cast information; stemming the tokenized data to generate stemmed data; pattern matching the stemmed data to produce Genre information; word sense disambiguating the stemmed data to produce Feature information; tagging the word sense disambiguated data to produce Topic information; arriving a concise descriptor of the description. This information is probabilistically matched with at least one of: product placement information; customer profile information; clustering information; and collaborative filtering information; wherein the results are forwarded to a recommendation orchestrator to generate a personalized customer specific recommendation.09-16-2010
20100235315Systems and Methods for Address Intelligence - Systems and methods for determining the present status of at least one occupancy of one or more individuals based on one or more occupancy data sources are described. The techniques include obtaining the at least one occupancy of said one or more individuals from said one or more sources; computing a score of said at least one occupancy by a computer processor based on the currency and the relative trustworthiness of said one or more sources; and determining said present status of said at least one occupancy based on said computed score. The techniques can also include presenting the at least one occupancy in a user readable format.09-16-2010
20090177612Method and Apparatus for Analyzing Data to Provide Decision Making Information - Method and apparatus for analyzing data to provide decision making information. In one embodiment, a method includes receiving data corresponding to an agent for one or more predictor variables of a model, and calculating coefficients of the model based, at least in part, on a logistic regression analysis for a response variable to determine probability densities of the response variable, wherein the response variable is associated with the one or more predictor variables. The method may further include performing a computational analysis of the response variable based on the probability densities of the response variable to determine variation in the probability densities of the response variable, and generating a decision matrix, reflecting probabilities of one or more response variables and analysis values.07-09-2009
20100250481SYSTEM AND METHOD FOR OCCUPANCY ESTIMATION - An occupancy estimator calculates an occupancy estimate (x) of a region based on sensor data (z) provided by one or more sensor devices and a model-based occupancy estimate generated by an occupant traffic model (f). The occupant traffic model (f) is based on predicted movement of occupants throughout a region. The occupancy estimation system includes an occupancy estimator algorithm (09-30-2010
20100125542SYSTEM AND METHOD TO DETERMINE THE VALIDITY OF AND INTERACTION ON A NETWORK - A computer implemented system classifies a user interaction on a network. An interface collects a user interaction data relating to a user interaction on a network. The user interaction data comprises an aggregate measure data or a unique feature data. The processor, which is connected to the interface, processes the user interaction data to generate a value score for the user interaction and determines a classification of the user interaction based on the value score.05-20-2010
20110238614AI PLANNING BASED QUASI-MONTECARLO SIMULATION METHOD FOR PROBABILISTIC PLANNING - A computer-based method and system for AI planning based quasi-Monte Carlo simulation for probabilistic planning are provided. The method includes generating a set of possible actions for an initial state, generating a set of sample future outcomes, generating solutions for each of the sample future outcomes, using an AI planner, generating a set of future outcome solutions that are low probability and high-impact, combining the solutions generated from each of the sample future outcomes with the future outcome solutions generated by the AI Planner into an aggregated set of future outcome solutions, analyzing the aggregated set of future outcome solutions, selecting a best action based at least partially on the analysis of the aggregated set of future outcome solutions, and outputting the selected best action to computer memory.09-29-2011
20110238612MULTI-FACTOR PROBABILISTIC MODEL FOR EVALUATING USER INPUT - A multi-factor probabilistic model evaluates user input to determine if the user input was intended for an on-screen user interface control. When user input is received, a probability is computed that the user input was intended for each on-screen user interface control. The user input is then associated with the user interface control that has the highest computed probability. The probability that user input was intended for each user interface control may be computed utilizing a multitude of factors including the probability that the user input is near each user interface control, the probability that the motion of the user input is consistent with the user interface control, the probability that the shape of the user input is consistent with the user interface control, and that the size of the user input is consistent with the user interface control.09-29-2011
20120143813TECHNIQUES FOR DATA GENERATION - Techniques, including systems and methods, for generating data are disclosed and suggested herein. Original data used in connection with one or more applications is analyzed in order to determine one or more distribution characteristics for the original data. The distribution characteristics are used to generate data that is similarly distributed. The generated data may be used as seed data for demonstrating, testing, or otherwise using one or more applications.06-07-2012
20100088267GRAPHICAL MODEL FOR DATA VALIDATION - Data may be received from the source and based on training; a confidence level may be determined that a specific element in the data is correctly assigned to a master category given that the source assigned the data to one of the plurality of assigned source categories. If the confidence level meets a threshold, the element may be stored in the assigned master category and if the confidence level does not meet a threshold, the element may be stored for reassignment.04-08-2010
20100191696SYSTEM FOR CUSTOMIZED PREDICTION OF MENSTRUATION PERIOD OR FERTILITY PERIOD AND CALCULATION METHOD THEREFOR - A system for customized prediction of a menstruation period or a fertility period is provided. The system includes a vital information measurer for measuring vital information about a user, a basic menstruation information generator for calculating the first day of menstruation or an ovulation day using the vital information received from the vital information measurer and outputting the first day of menstruation or the ovulation day as basic menstruation information, a menstruation cycle modeler having a menstruation cycle model representing a menstruation cycle as a function with a predetermined period, and a model parameter estimator for estimating and compensating a menstruation cycle parameter of the menstruation cycle model using the basic menstruation information received from the basic menstruation information generator.07-29-2010
20090327200Method and Apparatus for Ontology-Based Classification of Media Content - A method and apparatus for ontology-based classification of media content are provided. With the method and apparatus, initial confidence values of classifiers in a hierarchical classification structure are modified based on relationships between classifiers. A confidence value for a classifier is boosted by a boosting factor based on a correspondence between the confidence value and confidence values of ancestor classifiers in the hierarchical classification structure. A confidence value for a classifier is modified by a confusion factor based on a correspondence between the confidence value of the classifier and the confidence values of mutually exclusive classifiers in the hierarchical classification structure. In this way, a more accurate representation of the actual confidence that media content falls within the classification associated with the classifier is obtained. From this improved classification mechanism, indices for media content may be generated for use in accessing the media content at a later time.12-31-2009
20090222398System and Method for Explaining a Recommendation Produced by a Decision Support Tool - In accordance with a particular embodiment of the invention, a method for explaining a recommendation produced by a decision support tool is disclosed. The method comprises submitting a list of observation inputs to the decision support tool and producing a recommendation. The list of inputs is then reordered according to an observation metric. The method further comprises quantifying how each input impacts the probability of the recommendation produced. The inputs may then be ranked by comparing the associated changes in probability of the recommendation produced.09-03-2009
20100191695CLASSIFICATION OF SUB CORTICAL STRUCTURES - Subcortical neural structures are classified during a microelectrode recording (MER) procedure. As the electrode traverses subcortical structures toward a target neural structure, neural activity is analyzed. The neural activity is converted to electrical signals. Features pertaining to characteristics of the neural activity are extracted from the electrical signals. The features are synergistically combined using fuzzy clustering logic, for example. In an example embodiment, the combined results are provided in a form of a color coded map indicating the different structural regions traversed. Observation of the map provides an objective indication of the demarcations of the various structural regions traversed and an objective technique for classifying the structural regions.07-29-2010
20100191694Collaborative Filtering Systems and Methods - A collaborative filtering method for evaluating a group of items to aid in predicting utility of items for a particular user comprises assigning an item value of either known or missing to each item of the group of items, and applying a modification scheme to the item values of the missing items to assign a confidence value to each of the item values of the missing items to thereby generate a group of modified item values. The group of items having modified item values and the group known items are evaluated to generate a prediction of utility of items for a particular user.07-29-2010
20110131169PATTERN DETERMINATION DEVICES, METHODS, AND PROGRAMS - A pattern determination device has probability computation means and dissimilarity decision means. The probability computation means computes an internal probability that is a probability in which a value of a predetermined component of a pattern that takes place according to a probability density distribution in a domain of an input pattern falls in a range between the value of said predetermined component of a pattern X (1) and the value of said predetermined component of a pattern x (2). The dissimilarity decision means decides a dissimilarity between said pattern X (1) and said pattern X (2) based on said internal probability computed by said probability computation means.06-02-2011
20090177613SYSTEM AND METHODS FOR PROVIDING INTEGRATED WELLNESS ASSESSMENT - A system for generating measurable indexes for providing a total wellness assessment of an individual is provided. The system can include a data communications interface for accessing a plurality of databases of population data derived from samplings of one or more populations. The system further can include an integration and synthesis engine for generating a plurality of weighting factors based upon a predetermined combination of the data, each weighting factor corresponding to a predetermined body region of the individual or to a predetermined health condition associated with the individual and based upon the population data. The system also can include a conditions capture engine for capturing individual-specific data corresponding to a set of predetermined of health conditions associated with the individual. The system can further include a modeling tool for combining at least one of the plurality of weighting factors with the individual-specific data corresponding to a set of predetermined of health conditions associated with the individual. Moreover, the system can include a quotient generator for generating an individual-specific overall health score corresponding to the individual based on the combining of weighting factors, population data, and individual-specific data.07-09-2009
20100312744SYSTEM FOR BATTERY PROGNOSTICS - A battery prognosis system for estimating the remaining useful life of a battery includes a sensor input, a conversion module, and a mapping module. The sensor input is capable of receiving a measurement signal from a sensor measuring properties of the battery. The conversion module is in electronic communication with the sensor input to receive the measurement signal and processes the measurement signal into an output signal of internal parameters of the battery. A mapping model trained on actual battery performance data in the mapping module maps the output signal and time variant parameters related to the output signal to generate a battery life signal corresponding to an estimate of the remaining useful life of the battery.12-09-2010
20100306161CLICK THROUGH RATE PREDICTION USING A PROBABILISTIC LATENT VARIABLE MODEL - Methods and systems are provided for predicting click through rate in connection with a particular user, keyword-based query, and advertisement using a probabilistic latent variable model. Click through rate may be predicted based on historical sponsored search activity information. Predicted click through rate may be used as a factor in determining advertisement rank.12-02-2010
20100306163SYSTEM AND METHOD FOR EFFICIENT ALLOCATION OF RESOURCES IN VIRTUALIZED DESKTOP ENVIRONMENTS - A system and method for managing responsiveness of virtual desktops using passive monitoring includes monitoring interactive desktop events for a computer device and measuring a time between the interactive desktop event and a result of the interactive desktop event. Based on the time, desktop responsiveness is evaluated. System resources are reallocated to improve the responsiveness.12-02-2010
20100325081SYSTEM AND ASSOCIATED METHOD FOR DETERMINING AND APPLYING SOCIOCULTURAL CHARACTERISTICS - A computer system and associated method are provided for evaluating a sociocultural event associated with a target human subject. An analytical processing device analyzes a communication sample associated with the sociocultural event involving the target human subject to determine an apparent cultural data element, an apparent linguistic data element, a contextual data element, and/or a communicative data element associated with the communication sample. A correlative processing device correlates the contextual data element with a projected cultural data element and/or a projected linguistic data element expected of a corresponding hypothetical human subject. A comparative processing device compares the apparent cultural data element and/or the apparent linguistic data element with the corresponding projected linguistic data element and/or the projected cultural data element to determine whether the sociocultural event is consistent with the target human subject.12-23-2010
20100325082System and Associated Method for Determining and Applying Sociocultural Characteristics - A computer system and associated method are provided for analyzing a scenario task to determine contextual characteristics thereof. An analytical processing device parses the scenario task into parsed task requirements. An associative processing device associates each parsed task requirement with a task requirement identifier and a task requirement resolution factor, and associates the task requirement identifiers to define a task requirement model. A correlative processing device correlates the task requirement model with a database of scenario data elements, by correlating the task requirement identifiers and/or the task requirement resolution factors with the respective scenario data element identifiers and/or scenario resolution factors associated with the scenario data elements. A compilation processing device forms contextual characteristics having categories, attributes, parameters, and parameter values associated with the correlated scenario data element identifiers and scenario resolution factors, wherein the contextual characteristics cooperate to populate the task requirement model.12-23-2010
20110119224FEEDBACK DURING SURGICAL EVENTS - Technology is disclosed for communicating surgical information. The technology can receive a first data from a first sensor coupled to a first tool; receive a second data from a second sensor coupled to a second tool; generate a virtual model of a virtual real-time space, wherein the first tool is mapped in the virtual real-time space in relation to a first vital entity and a second vital entity via the first sensor and based on the first data; apply the virtual real-time space against at least a first probabilistic model and a second probabilistic model to obtain a third data about movement of the first tool in relation to the first vital entity and the second vital entity; and output the third data to an output device to convey information about the first tool.05-19-2011
20100332440CONTENT SELECTION BASED ON CONSUMER INTERACTIONS - In some embodiments, there is provided a technique for detecting a consumer's skipping habits at a given time and determining the consumer's current preferences based at least in part on those skipping habits. Skipping habits are determined by detecting which content is skipped (or not skipped) during presentation of content. Skipping habits, indicating trends in the consumer's consuming or skipping of content, that are detected during presentation of content may be used to determine a consumer's current preferences. Selection of content for presentation may be based on current preferences of the consumer. In this way, a consumer's interactions with the content, including the consumer's skipping habits, can be used to alter a selection of content to be presented to the consumer.12-30-2010
20100332442STOCHASTIC PROGRAMMING-BASED DECISION SUPPORT TOOL FOR RESERVOIR DEVELOPMENT PLANNING - A stochastic programming-based decision 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.12-30-2010
20100332439APPARATUS AND METHOD FOR SUPPORTING CAUSE ANALYSIS - Conventionally, there is a technique to conduct a cause analysis in which a single evaluation axis, such as a performance time, is used to configure a problem point network. However, in particular, in a system to visualize a management problem in which problems are intricately-intertwined with one another, information on multiple evaluation axes, collected from a business system, are utilized, and units are different for respective evaluation axes. Therefore, it is difficult to simply specify a cause of problem occurrence. In view of this situation, an object of the present invention is to extract and present factor which has a significant influence on the problem occurrence. The present invention is directed to an apparatus which stores causal relation information specifying the causal relation and the relation level between the indexes, business goal achievement level information, and an influence level of the causal relation, calculates the influence level by using the business goal achievement level information and the relation level of the causal relation, specifies as the causal index the index having a large influence, and generates screen information for displaying a graph and/or table relating to the causal index.12-30-2010
20100332441MEDICAL DECISION MAKING SUPPORT APPARATUS AND CONTROL METHOD FOR THE SAME - A medical decision making support apparatus performs the inference processing of obtaining an inference result by performing inference processing associated with medical diagnosis based on a plurality of pieces of input medical information, and the calculation processing of calculating the degree of denial or affirmation of the inference result in association with each of a plurality of partial sets including each medical information extracted from the plurality of pieces of medical information as an element. The medical decision making support apparatus presents a user an inference result obtained by the inference processing and negative information indicating medical information included in a partial set, of the plurality of partial sets, for which the degree of denial is calculated by the calculation processing.12-30-2010
20110213748INFERENCE APPARATUS AND INFERENCE METHOD FOR THE SAME - An inference apparatus that infers a class of a case is provided. The apparatus includes an inference unit configured to infer a class of a case with use of an inference device and an evaluation unit configured to, based on a result of inference performed by the inference device with respect to a known case that is similar to an unknown case, evaluate a result of inference with respect to the unknown case.09-01-2011
20110010328Modifying a Patient Adherence Score - Systems, methods and devices for modifying a patient adherence score which include, in one implementation, obtaining a patient profile in a patient population, the patient profile including multiple patient attributes and each patient attribute including a value; obtaining an adherence score for the patient profile for predicting patient adherence based on one or more of the multiple patient attributes wherein the adherence score indicates a likelihood of adherence of the patient to the prescribed treatment; and applying a modifier associated with an application to modify the adherence score obtained for the patient profile into a modified score for the application.01-13-2011
20110016077AUDIO SIGNAL CLASSIFIER - An apparatus for classifying an audio signal configured to: estimate at least one shaping parameter value for a plurality of samples of the audio signal; generate at least one audio signal classification value by mapping the at least one shaping parameter value to one of at least two interval estimates; and determine at least one audio signal classification decision based on the at least one audio signal classification value.01-20-2011
20110029475TAXONOMY-DRIVEN LUMPING FOR SEQUENCE MINING - Methods and apparatus are described for modeling sequences of events with Markov models whose states correspond to nodes in a provided taxonomy. Each state represents the events in the subtree under the corresponding node. By lumping observed events into states that correspond to internal nodes in the taxonomy, more compact models are achieved that are easier to understand and visualize, at the expense of a decrease in the data likelihood. The decision for selecting the best model is taken on the basis of two competing goals: maximizing the data likelihood, while minimizing the model complexity (i.e., the number of states).02-03-2011
20090187527PAYLOAD ESTIMATION SYSTEM AND METHOD - A method of payload estimation of weight bearing machinery, the method comprising the steps of: (a) creating a series of Kalman filter approximations to the weight bearing machinery for different levels of payload; (b) determining from the series an approximation to the current operating characteristics of the weight bearing machinery; and, (c) utilizing the parameters derived from the step (b) to determine an estimated payload of the weight bearing machinery.07-23-2009
20110040718SYSTEM 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.02-17-2011
20110040719FAILURE DETECTION SYSTEM RISK REDUCTION ASSESSMENT - A process includes determining a probability of a failure mode of a system being analyzed reaching a failure limit as a function of time to failure limit, determining a probability of a mitigation of the failure mode as a function of a time to failure limit, and quantifying a risk reduction based on the probability of the failure mode reaching the failure limit and the probability of the mitigation.02-17-2011
20110119226Method and System for Detecting Anomalies in Web Analytics Data - A server system stores web analytics data for a web page in a device. The web analytics data comprises a plurality of prior time-value pairs, each pair including a value of an attribute associated with the web page and a time associated with the value. For a particular attribute, the server system collects a new time-value pair including a new value associated with the web page and a new time indicating when the value was determined. The server system estimates a predicted value for the attribute and an associated error-variance at the new time by applying a forecasting model to the prior time-value pairs in respective subsets of the web analytics data. The collected new time-value pair is tagged if its value is outside the error variance of the predicted value for the particular attribute.05-19-2011
20110113004TIME MODULATED GENERATIVE PROBABILISTIC MODELS FOR AUTOMATED CAUSAL DISCOVERY USING A CONTINUOUS TIME NOISY-OR (CT-NOR) MODELS - Dependencies between different channels or different services in a client or server may be determined from the observation of the times of the incoming and outgoing of the packets constituting those channels or services. A probabilistic model may be used to formally characterize these dependencies. The probabilistic model may be used to list the dependencies between input packets and output packets of various channels or services, and may be used to establish the expected strength of the causal relationship between the different events surrounding those channels or services. Parameters of the probabilistic model may be either based on prior knowledge, or may be fit using statistical techniques based on observations about the times of the events of interest. Expected times of occurrence between events may be observed, and dependencies may be determined in accordance with the probabilistic model.05-12-2011
20110113003MULTI-DIMENSIONAL SPECTRAL ANALYSIS FOR IMPROVED IDENTIFICATION AND CONFIRMATION OF RADIOACTIVE ISOTOPES - A method and system for classifies an unknown sample that contains either a first radioactive isotope, a second radioactive isotope, or a mixture of the first and second radioactive isotopes. Input vectors representative of a training set of samples for a first isotope class and a second isotope class are received. A multivariate classification model is constructed based on the received input vectors. Data is received corresponding to the unknown sample. First and second probabilities that the unknown sample respectively belongs to the first isotope class and the second isotope class are calculated. Based on the first and second probabilities, the unknown sample is classified as either the first radioactive isotope, the second radioactive isotope, or a mixture of the first and second radioactive isotopes.05-12-2011
20110125701System and Method of Using Multi Pattern Viterbi Algorithm for Joint Decoding of Multiple Patterns - Systems, devices, and methods for using Multi-Pattern Viterbi Algorithm for joint decoding of multiple patterns are disclosed. An exemplary method may receive a plurality of sets of time-sequential signal observations for each of a number K of signal repetitions. Further, each set of signal observations is associated with a respective dimension of a K-dimensional time grid having time-indexed points. Moreover, at each of a plurality of the time-indexed points, a state cost metric is calculated with a processor for each state in a set of states of a hidden Markov model (HMM). In addition, each state in the set of states and for a given time-indexed point, the state cost metric calculation provides a most-likely predecessor state and a corresponding most-likely predecessor time-indexed point. The exemplary method may also determine a sequence of states using the calculated state cost metrics and determine a corresponding cumulative probability measure for the HMM.05-26-2011
20100145900SPAM FILTERING BASED ON STATISTICS AND TOKEN FREQUENCY MODELING - Embodiments are directed towards classifying messages as spam using a two phased approach. The first phase employs a statistical classifier to classify messages based on message content. The second phase targets specific message types to capture dynamic characteristics of the messages and identify spam messages using a token frequency based approach. A client component receives messages and sends them to the statistical classifier, which determines a probability that a message belongs to a particular type of class. The statistical classifier further provides other information about a message, including, a token list, and token thresholds. The message class, token list, and thresholds are provided to the second phase where a number of spam tokens in a given message for a given message class are determined. Based on the threshold, the client component then determines whether the message is spam or non-spam.06-10-2010
20110238611PROBABILISTIC INFERENCE IN DIFFERENTIALLY PRIVATE SYSTEMS - Given that a differentially private mechanism has a known conditional distribution, probabilistic inference techniques may be used along with the known conditional distribution, and generated results from previously computed queries on private data, to generate a posterior distribution for the differentially private mechanism used by the system. The generated posterior distribution may be used to describe the probability of every possible result being the correct result. The probability may then be used to qualify conclusions or calculations that may depend on the returned result.09-29-2011
20110125702DECISION SUPPORT METHODS UNDER UNCERTAINTY - Modern decision support methods handle uncertainty or hypothesis about operating conditions, using one of two techniques viz. probabilistic formulation and constraints based method, which is the subject of the present invention. A large number of applications use linear constraints to specify uncertainty. These linear constraints are the set of linear inequalities, which are used to define the demand/supply in the area of supply chains. The set of linear inequalities forms a polytope, the volume of which represents the information content. The present invention deals with the application of computational geometrical methods to find the set theoretic relationship—subset, intersection and disjointness among the polytopes and then present a visualization technique to represent these relationships among polytopes. This invention proposes a decision support system and method to visualize the relationship among the polytopes to help with decision support. A specific embodiment is a Decision Support System for Supply Chain Management.05-26-2011
20110213746PROBABILISTIC SCORING FOR COMPONENTS OF A MIXTURE - A method for analyzing a mixture includes identifying a plurality of possible components of the mixture, calculating at least one feature for at least a portion of the plurality of possible components, and calculating a probability value for at least a portion of the plurality of possible components based on the at least one feature and at least one transfer function09-01-2011
20100235316SYSTEM, TOOLS, DEVICES AND A PROGRAM FOR DIABETES CARE - A method for diabetes care, the method (which also may be referred to as, involve or incorporate at least one of a tool, device or program) allowing for the characterization of the relevance of errors of parameters affecting glucose concentration on a postprandial glucose concentration outcome for a person with diabetes mellitusm, wherein the method involves at least one of sensing, determining, calculating, predicting, describing and communicating the effects of potential errors of parameters affecting glucose concentration on postprandial glucose concentration values within a clinically relevant glucose range.09-16-2010
20110246412Trust Rating Metric for Future Event Prediction of an Outcome - In at least one embodiment, a trust rating system and method provide a precise and accurate, structured (yet adaptable and flexible), quantifying way of expressing historical trustworthiness so the user or decision maker can make more informed decisions on the data or information being evaluated.10-06-2011
20100036791EXAMINATION VALUE PREDICTING DEVICE USING ELECTROPHORESIS WAVEFORM, PREDICTION METHOD, AND PREDICTING PROGRAM - A test value prediction apparatus, a test value prediction method, and a test value predicting program, capable of accurately predicting the amount of a specific substance, the presence or absence of a disease, and the like, using electrophoresis waveform. The test value prediction method is a method wherein, electrophoresis waveform data formed by mobilities and absorbance values corresponding to the mobilities and a prediction equation for predicting the amount of a specific substance in an analyte or the presence or absence of a disease in the living body from which the analyte was obtained are recorded in the recording unit; the prediction equation is a regression equation in which the explanatory variable is an absorbance value corresponding to a mobility in corrected waveform data generated as a result of electrophoresis waveform data on a plurality of analytes being subjected to normalization and area correction, and the criterion variable is the amount of the specific substance or the presence or absence of a disease; and the test value prediction method includes first step (S2) of generating corrected waveform data by performing normalization and area correction on the electrophoresis waveform data recorded in the recording unit, and the second step (S4) of calculating a prediction value of the amount of the specific substance by substituting the absorbance value corresponding to the mobility, i.e., the explanatory variable of the prediction equation recorded in the recording unit, with an absorbance value from the corrected waveform data generated from the electrophoresis waveform data recorded in the recording unit.02-11-2010
20090313204SAMPLE-BASED ROBUST INFERENCE FOR DECISION SUPPORT SYSTEM - The present invention deals with sampling-based robust inference for decision support systems (DSS). The invention relates to a method of operating a decision support system comprising at least one Bayesian network, to a decision support system and to a computer program product for implementing the system. The system comprising at least one Bayesian network (12-17-2009
20120246106MONITORING DEVICE FOR MANAGEMENT OF INSULIN DELIVERY - Monitoring system and method for use with diabetic treatment management. The system includes: a communication interface configured to permit access to stored raw log data, obtained over a certain time, being indicative of glucose measurements, meals consumed and insulin delivery; and a control unit including an unsupervised learning controller configured to receive and process said raw log data and determine at least one global insulin pump setting of basal rate, correction factor, carbohydrate ratio and insulin activity curve parameters. The system may include a processing unit including a first processor for processing measured data indicative of blood glucose level and generating first processed data, a second processor including at least one fuzzy logic module which receives input parameters corresponding to the measured data, the first processed data and a reference data, and processes the data to produce a qualitative output parameter to determine whether any treatment parameter should be modified.09-27-2012
20100131449Hypothesis development based on selective reported events - A computationally implemented method includes, but is not limited to: acquiring events data including data indicating incidence of a first one or more reported events and data indicating incidence of a second one or more reported events, at least one of the first one or more reported events and the second one or more reported events being associated with a user; determining an events pattern based selectively on the incidences of the first one or more reported events and the second one or more reported events; and developing a hypothesis associated with the user based, at least in part, on the determined events pattern. 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
20100131447Method, Apparatus and Computer Program Product for Providing an Adaptive Word Completion Mechanism - An apparatus for providing an adaptive word completion mechanism may include a processor. The processor may be configured to receive an indication of an input character corresponding to a word being entered, determine a situation profile corresponding to entry of the word, utilize a processor to adjust a probability of candidate words for completing the word being entered based at least in part on the situation profile, and provide at least one suggested word completion option to a user.05-27-2010
20100063955Method and system for automated analysis of nuclear magnetic resonance spectra - A fully automatic, parameter free MR interpretation system is based on human logic emulation. Information is derived mainly from an MR spectrum with maximum confidence and in a similar way as a human expert. This is achieved by the combination of different expert systems that interpret certain MR spectral features as well as features from a proposed structure. The expert systems are dynamically linked to each other and the analysis is performed iteratively in all directions in a way that the expert systems can utilize all of the interpretations of all expert systems at all times. The expert system may generate not just a single result but rather lists of probability weighted hypotheses.03-11-2010
20100057663TECHNIQUES FOR MATCHING A CERTAIN CLASS OF REGULAR EXPRESSION-BASED PATTERNS IN DATA STREAMS - Techniques for detecting patterns in data streams. A pattern to be detected may be specified using a regular expression. Events received in data streams are then processed during runtime to detect occurrences of the pattern specified by the regular expression in the data stream. If the pattern to be matched belongs to a certain predetermined class of patterns, then a pattern matching technique that is customized for that class of patterns is used during the runtime events processing.03-04-2010
20090216704LEARNING 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.08-27-2009
20100063956SYSTEM AND METHOD FOR IMPROVED PATIENT CARE AND PATIENT RECORD KEEPING - The present invention relates generally to healthcare, and more specifically to a process for more completely and more accurately identifying and collecting health insurance plan members' medical diagnoses in compliance with the regulations of one or more health insurance payors such as, but not limited to, the United States Centers for Medicare and Medicaid Services' (“CMS”) Medicare Advantage regulations. In particular, the present invention provides a system, method, or computer program product whereby health insurance companies may ensure that their members are accurately diagnosed and that claims are accurately filed by reviewing existing member medical records to identify additional diagnoses which may have been treated but not specifically identified in claims filed by the members' health care provider.03-11-2010
20110178975SOLVING CONTINUOUS STOCHASTIC JUMP CONTROL PROBLEMS WITH APPROXIMATE LINEAR PROGRAMMING - In a scheduling or planning process, a hybrid process is determined representing operation of a system. The hybrid process includes stochastic jumps. An approximate linear program is constructed respective to the hybrid process and a set of control actions for controlling the system. The approximate linear program includes a stochastic jump constraint term representative of stochastic jumps of the hybrid process. The approximate linear program is solved. The system is controlled based on the solved approximate linear program.07-21-2011
20100057662SYSTEM FOR REAL-TIME PROBABLISTIC RESOURCE MANAGEMENT - A system providing a real-time probabilistic prediction mechanism is described herein that is adapted to the address probabilistic implementations. The described mechanism provides a better balance between the tradeoffs of accuracy versus computational resources than the prior art, which makes it suitable for real-time applications, and in some cases offers a simpler path to implementation as well. In one exemplary approach, the real-time probabilistic prediction mechanism is implemented as a system for real-time resource management.03-04-2010
20110251990TECHNIQUES FOR TEMPLATE-BASED PREDICTIONS AND RECOMMENDATIONS - An embodiment of the present invention provides a method of template-based prediction and recommendation, comprising utilizing templates that consist of a sequence of activities or locations to characterize a user's day by a personal device, wherein as the user goes about a day, the personal device attempts to match pre-existing templates to the user's location and activities, assigning a probability to each template; and using the matching templates to predict what the user will do next and thus narrow down a set of logical recommendations.10-13-2011
20110153542OPINION AGGREGATION SYSTEM - A system is disclosed for obtaining and aggregating opinions generated by multiple sources with respect to one or more objects. The disclosed system uses observed variables associated with an opinion and a probabilistic model to estimate latent properties of that opinion. With those latent properties, the disclosed system may enable publishers to reliably and comprehensively present object information to interested users.06-23-2011
20110153541SYSTEMS AND METHODS FOR MACHINE CONTROL IN DESIGNATED AREAS - Systems and methods for determining machine control zones associated with a mine site comprise receiving, at a processor, information indicative of an occurrence of a detonation of explosive material in the mine site. The method may further include predicting, at the processor, a blast zone associated with the detonation of explosive material based on the information and accessing, by the processor from a job-site map database, information indicative of one or more topographical features associated with the blast zone. The method may also include establishing, at the processor, a designated area associated with the blast zone based at least on the predicted blast zone and the information indicative of the one or more topographical features and providing, by the processor to one or more machines, information indicative of the designated area.06-23-2011
20120303574METHOD FOR SOLVING OPTIMIZATION PROBLEMS IN STRUCTURED COMBINATORIAL OBJECTS - The present invention is a method of solving the decision, for example, testing if, given a finite number of transformations which can be applied to a finite number of elements, the corresponding n-generated discrete object has a hamiltonian cycle and/or path, searching, for example, obtaining the explicit construction of one several or all the hamiltonian cycles and or paths of the given input, counting, for example, obtaining an upper bound of the number of Hamiltonian cycles and/or paths of the given input and optimization, for example, selecting one of several hamiltonian cycles and/or paths solutions according to an specified criterion, versions of the hamiltonian traversal (cycle and/or path) problem in class of combinatorial discrete objects.11-29-2012
20120303573Methods and apparatus for prediction and modification of behavior in networks - In exemplary implementations of this invention, mobile application (app) installations by users of one or more networks are predicted. Using network data gathered by smartphones, multiple “candidate” graphs (including a call log graph) are calculated. The “candidate” graphs are weighted by an optimization vector and then summed to calculate a composite graph. The composite graph is used to predict the conditional probabilities that the respective users will install an app, depending in part on whether the user's neighbors have previously installed the app. Exogenous factors, such as the app's quality, may be taken into account by creating a virtual candidate graph. The conditional probabilities may be used to select a subset of the users. Signals may be sent to the subset of users, including to recommend an app. Also, the probability of successful “trend ignition” may be predicted from network data.11-29-2012
20120303572INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - A probability function with highest likelihood is calculated based on data. A canonical distribution in statistical physics and a temperature parameter of the canonical distribution are calculated as a fluctuation of the data. A probability function is estimated using the calculated probability function with the highest likelihood, the calculated fluctuation, and the canonical distribution. The present technology is applicable to an apparatus that estimates and uses a probability function.11-29-2012
20120303571OPTIMAL MULTI-FACTOR EVALUATION IN COMPUTING SYSTEMS - Techniques are disclosed for optimally scheduling computations that involve multiple factors, the cost of evaluations and probabilities of success of which are known. For example, a methodology is provided for determining an optimal schedule of a multi-factor test in sub-quadratic time. While the methodology has wide ranging application, we illustrate a particular applicability to a security application involving multi-factor authentication in a cloud computing environment, as well as applicability to the contact center agent scheduling.11-29-2012
20110060715NON-NATURAL PATTERN IDENTIFICATION FOR COGNITIVE ASSESSMENT - Methods, systems, and apparatus, including medium-encoded computer program products, for detection of cheating on a cognitive test. In one aspect, a method includes receiving first information concerning a person, the first information specifying the person's responses, and lack thereof, for items of a cognitive test administered to the person, wherein the cognitive test includes multiple item-recall trials used to assess cognitive impairment; analyzing the first information using a classification algorithm trained on second information concerning a group of people to whom the cognitive test has been administered, the classification algorithm generated in accordance with a first part and a second part, the first part distinguishing between cheaters and non-cheaters, and the second part distinguishing between impaired cheaters and non-impaired cheaters; and identifying, based on the analyzing, the person as a cheater requiring a verification test to confirm an initial result of the cognitive test.03-10-2011
20110040721MODIFICATION OF RELATIONAL MODELS - Described herein is a system that facilitates modifying a relational model. The relational model is modified based at least in part upon an identity of a user, and the modified relational model is used to predict queries or advertisements that are of interest to the user. Examples of relational models that are modifiable include a Markov Logic Network, a probabilistic relational model, a BLOG relational model, a structural logistic regression relational model, a relational dependency network, or a probabilistic entity relationship model.02-17-2011
20110040720SYSTEM AND METHOD FOR MAKING DECISIONS - Systems and methods are disclosed that assist in making decisions, valuing a choice or action, promoting creative solutions, and reducing risks. Among other situations, the systems and methods consider situations where the user or users are evaluating a possible single choice or several alternative choices. The criteria to evaluate the decisions are input into a grid, and the user or users rate the one or more alternatives against the different criteria. Given several alternative choices or options, the system and method provides the probability each alternative is the right selection. In one embodiment, the system implements a Bayesian approach. The systems and methods may estimate the value of an option or choice, where the value might be financial or other metric, and may estimate the value of a risk, opportunity or factor that might influence the result. The systems and methods may estimate the amount the chance of being surprised or missing some relevant consideration has been reduced by the analysis. The possibility of black or gray swans can also be estimated, in the phraseology of Nassim Taleb. Systems and methods so disclosed may be employed in financial analyses, project or strategy selection, betting, resolution of disagreements, intelligence analysis, and so on.02-17-2011
20100306160Generating and determining bicycle configurations conforming to constraints - Systems and methods are described for determining a subset of conforming descriptions of a set of descriptions of bicycle configurations, which are combinations of candidate components, such as frames, forks, stems, handlebars, seat posts, and saddles. For determining whether a candidate description conforms, (1) a set of candidate components with a physical specification of each candidate component is accessed, (2) at least one biomechanical constraint is input, and (3) optionally a non-biomechanical constraint is input, such as weight, material, or price. An embodiment may generate a biomechanical constraint from a physical measurement taken from a particular bicycle and/or from a physical measurement taken from a particular cyclist.12-02-2010
20100306159CONTACT STATE ESTIMATION FOR MULTI-FINGER ROBOT HANDS USING PARTICLE FILTERS - A method for identifying the location, orientation and shape of an object that a robot hand touches that includes using a particle filter. The method includes defining an appropriate motion model and a measurement model. The motion model characterizes the motion of the robot hand as it moves relative to the object. The measurement model estimates the likelihood of an observation of contact position, velocity and tactile sensor information given hand-object states. The measurement model is approximated analytically based on a geometric model or based on a corpus of training data. In either case, the measurement model distribution is encoded as a Gaussian or using radial basis functions.12-02-2010
20110213747SYSTEM AND METHOD FOR AGGREGATING INFORMATION - A method for allocating resources includes receiving one or more parameters associated with an object of interest. At least one of the parameters corresponds to a probability that the object of interest is participating in a predetermined situation of interest. The method also includes calculating a plurality of values, based at least in part on the parameters, and selecting, based at least in part on the calculated values, one or more operations to be performed involving the object of interest. In addition the method includes generating an instruction based at least in part on the operation to be performed transmitting the instruction to an operational resource.09-01-2011
20100030721Physics-Based, Bayesian Sequential Detection Method and System for Radioactive Contraband - A distributed sequential method and system for detecting and identifying radioactive contraband from highly uncertain (noisy) low-count, radionuclide measurements, i.e. an event mode sequence (EMS), using a statistical approach based on Bayesian inference and physics-model-based signal processing based on the representation of a radionuclide as a monoenergetic decomposition of monoenergetic sources. For a given photon event of the EMS, the appropriate monoenergy processing channel is determined using a confidence interval condition-based discriminator for the energy amplitude and interarrival time. If accepted the parameter values of the photon event are used to update the parameter values using an LKF for the energy amplitude and a bootstrap PF for the interarrival times. These parameter estimates are then used to update a measured probability density function estimate for a target radionuclide. A a sequential likelihood ratio test, which is based in part on a previous sequential likelihood ratio for a previous photon event, the updated measured PDF estimates, and the an a-priori PDF estimates based on expected amplitude level and interarrival time values of the target radionuclide, is then used to determine one of two threshold conditions signifying that the EMS is either identified as the target radionuclide or as not the target radionuclide, and if not, then repeating the process with for the next sequential photon event of the EMS until one of the two threshold conditions is satisfied.02-04-2010
20130159242PERFORMING WHAT-IF ANALYSIS - Information relating to project metric data and occurrence of events in a plurality of projects is received (06-20-2013
20100306164CIRCUITS 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
20100306162PROXIMITY DATA IMPORT - Systems, methods, and other embodiments associated with importing proximity data are provided. Device identification information and device location information associated with a device are received from a data source. An estimated proximity of the device to one or more network zones is determined based at least in part on the device location information. A device identifier and the estimated proximity of the device are stored in a proximity database that stores proximity data for devices relative to one or more network zones.12-02-2010
20100306158SPEEDING UP ANALYSIS OF COMPRESSED WEB GRAPHS - Classes of web graph algorithms are extended to run directly on virtual node-type compressed web graphs where a reduction in runtime of the extended algorithms is realized which is approximately proportional to the compression ratio applied to the original (i.e., uncompressed) graph. In the virtual node compression technique, a succinct representation of a web graph is constructed by replacing dense subgraphs by sparse ones so that the resulting compressed graph has significantly fewer edges and a relatively small number of additional nodes.12-02-2010
20110153540TECHNIQUES FOR GENERATING DIAGNOSTIC RESULTS - Techniques for performing diagnostics for a monitored system. In one set of embodiments, an aggregate model can be built from a set of models corresponding to entities (e.g., applications and systems) in the monitored system, and data from the monitored system can be applied to the aggregate model. Diagnostic result information can then be generated based on the application of the data to the aggregate model. In certain embodiments, generating the diagnostic result information can include determining a state of an application or system in the monitored system and determining an impact of the state to a user.06-23-2011
20120203731Methods and Apparatus for Determining Whether a Media Presentation Device is in an On State or an Off State - Methods and apparatus for determining whether a media presentation device is in an on state or an off state are disclosed. A disclosed example method comprises determining first and second characteristics of a signature associated with a signal representative of media content presented via a media presentation device, evaluating the first and second characteristics to determine first and second fuzzy contribution values representing, respectively, degrees with which the first and second characteristics correspond to the media presentation device being in at least one of an on state or an off state, determining a third fuzzy contribution value based on a number of the first and second contribution values indicating the media presentation device is in one of the on or off states, and combining the first, second and third fuzzy contribution values for use in determining whether the media presentation device is in the on state or the off state.08-09-2012
20090254508QUANTUM STATE ESTIMATION METHOD, QUANTUM STATE ESTIMATION DEVICE AND COMPUTER PROGRAM - A control section virtually divides a surface of an adsorbing material into a plurality of regions (cells) in accordance with a computer program. Further, the control section-allocates a normal distribution function to each of the divided cells, and sets a linear combination of the normal distribution functions allocated to all cells to a trial function. Moreover, the control section solves a Schrödinger equation based upon a potential on the surface of the adsorbing material by a numerical variational method, to calculate a wave function. Then, based upon the calculated wave function, the quantum state of the atom or the molecule adsorbed on the surface of the adsorbing material is estimated.10-08-2009
20110161278MEDICAL DIAGNOSTIC SUPPORTING APPARATUS - A medical diagnostic supporting apparatus inputs a medical image to be a target of a medical diagnosis, acquires one or more pieces of medical information relating to the medical image as entered information, and acquires an image feature amount from the medical image. The medical diagnostic supporting apparatus selects a plurality of pieces of not-entered information associated with the acquired image feature amount from not-entered information that is medical information other than the entered information as presented not-entered information candidates that are candidates for presentation, and selects presented not-entered information from the presented not-entered information candidates based on a plurality of inference results acquired using the entered information and each of the presented not-entered information candidates. The medical diagnostic supporting apparatus presents the selected presented not-entered information to a doctor.06-30-2011
20090187526Systems And Methods For Modeling Consequences Of Events - Methods, systems, and computer program products are provided for decision making under uncertainty. A causality framework is provided to define relationships between an alternative (Ai) of a set of alternatives and at least one performance indicator of a set of performance indicators. A k-concurrent lottery (Li) associated with the alternative (Ai) is conducted, the alternative (Ai) having consequences over k ones of the set of performance indicators. The k-concurrent lottery (Li) is homogenized over the set of performance indicators if the k ones is less than a number of the set of performance indicators. An expected utility of the k-concurrent lottery (Li) for each one of the set of alternatives is computed. One alternative is selected from the set of alternatives, the selection occurring in accordance with a selection criteria based on the expected utility.07-23-2009
20090043724Method, System and Computer Program Product for Preventing SIP Attacks - A method for preventing session initiation protocol (SIP) attacks is provided. The method includes receiving a plurality of SIP response messages comprising at least one pre-defined SIP response code, and extracting at least one user identifier from the plurality of SIP response messages. The method further includes computing at least one of a frequency of the plurality of SIP response messages and a count of the plurality of SIP response messages corresponding to each user identifier of the at least one user identifier. The method further includes calculating a degree of attack corresponding to each user identifier using at least one of the frequency and the count. The method further includes determining a monitoring interval for each user identifier based upon the degree of attack for monitoring the plurality of SIP response messages. An apparatus and a computer program product for preventing SIP attacks are also provided.02-12-2009
20080256016Bayes-like classifier with fuzzy likelihood - A method, system, and computer program product for building a classifier based on the concepts similar to a Bayesian classifier, but using fuzzy theory provides better understanding and an improved approach to modeling the data. The concept of prior information about the class is eliminated, and focuses on the likelihood function (obtained from training data). This is modeled as fuzzy sets. The process of classification uses the possibility-probability transformation. A method of performing data analysis processing includes constructing a fuzzy likelihood by modeling a likelihood of data given a training class using fuzzy sets and transforming the fuzzy likelihood into a probability distribution using a possibility-probability transformation.10-16-2008
20080256017INFORMATION EVALUATION SYSTEM AND METHOD FOR EVALUATING INFORMATION - A system includes: a preference model generating unit that generates a preference model by learning and storing the preference model for a user based on a behavior history that indicates history of behavior of the user; an evaluation list generating unit that calculates probability of a plurality of recommended candidates based on the preference model and generates an evaluation list indicating the probability of the recommended candidates; a default predicting unit that specifies habituation of the user based on the information on the behavior history and calculates a predicted default value of the plurality of recommended candidates based on the habituation; and an evaluated unexpectedness value calculating unit that calculates an evaluated unexpectedness value indicating unexpectedness where the unexpectedness is higher as a difference obtained by subtracting the predicted default value from the probability is larger.10-16-2008
20110010329METHOD, DEVICE AND SYSTEM FOR MERGING INFORMATION FROM SEVERAL SENSORS - The invention relates to a method, a device and a system for merging information originating from several non-independent sensors. This invention makes it possible to prevent the same item of information from being reckoned twice during merging. The solution afforded consists of the creation of a new combination operator applying to latent belief structures. Said latent belief structures are obtained previously from conventional belief functions. These conventional belief functions are produced directly on the basis, for example, of the sensors of the system. The invention also proposes a means of transforming these latent belief structures into a probability distribution useful for decision taking.01-13-2011
20100332438Methods for Predicting Warp of a Wood Product Produced from a Log - The present disclosure relates to methods for predicting warp of a wood product produced from a log. Some embodiments include performing a three dimensional scan of the log to obtain geometric data, using the geometric data to construct a log profile, partitioning the geometric data into geometric components, removing one or more selected geometric components to create one or more residual grid profiles, deriving geometric statistics from the one or more residual grid profiles or from the log profile, and entering the geometric statistics into a model for predicting warp of the wood product. The geometric statistics may include orientation dependent and orientation independent statistics.12-30-2010
20110060714BIOLOGICAL SIGNAL PROCESSING APPARATUS AND MEDICAL APPARATUS CONTROLLING METHOD - A biological signal processing apparatus includes: a provider which provides state probability which corresponds to a value of a first biological signal; an acquirer which acquires a first biological signal in time series from a living body and which acquires state probability in time series which corresponds to a value of the acquired first biological signal from the provider; and a determiner which acquires determination probability based on the state probability acquired by the acquirer and which performs determination whether a process is performed or not by using the determination probability.03-10-2011
20100293129DEPENDENCY BETWEEN SOURCES IN TRUTH DISCOVERY - A method and system for truth discovery may implement a methodology that accounts for accuracy of sources and dependency between sources. The methodology may be based on Bayesian probability calculus for determining which data object values published by sources are likely to be true. The method may be recursive with respect to dependency, accuracy, and actual truth discovery for a plurality of sources.11-18-2010
20110119225INTELLIGENT 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.05-19-2011
20120150789DETERMINING AND CONVEYING USER AVAILABILITY - Determining and conveying availability information regarding a user may be accomplished by a variety of techniques. In one general implementation, determining and conveying availability information regarding a user may include determining an availability intent for a user of a user interface device, determining at least one availability desire for the user, and/or determining an inferred availability state for the user. The availability intent, the availability desire, and/or the inferred availability state for the user may be used to determine a composite availability state for the user, and the composite availability state may be conveyed to a remote server system.06-14-2012
20110137849Adaptive Experimentation Method and System - A computer-implemented adaptive experimentation method and system is described that automatically selects and executes information gathering actions. The adaptive experimentation method and system integrates value of information considerations, experimental design, and inferences from experimental results. The experimental results may include behaviors of users of a computer-based system. The process enables an automatic, adaptive process for attaining additional information and applying the attained information in making subsequent experiment decisions.06-09-2011
20110137848GENERAL PREDICTION MARKET - 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.06-09-2011
20110035350System for Personalized Term Expansion and Recommendation - Disclosed are methods and apparatus for providing a set of recommended annotations. A set of tags associated with a content item within a content sharing system is identified, where the content item is associated with a user of the content sharing system. A set of global tag co-occurrences within the content sharing system is identified for the set of tags, where each of the global tag co-occurrences in the set of global tag co-occurrences identifies a pair of tags including one of the set of tags, wherein the pair of tags have both been used together to tag at least one of the content items within the content sharing system. One or more sets of personal tag co-occurrences is identified for the set of tags, where each of the sets of personal tag co-occurrences is used in a corresponding one of one or more personal contexts of the content sharing system, the one or more personal contexts relating to the user of the content sharing system. Each of the personal tag co-occurrences in the sets of personal tag co-occurrences identifies a pair of tags including one of the set of tags that have both been used together to tag at least one content item within a corresponding one of the one or more personal contexts. A set of recommended tags is generated from the set of global tag co-occurrences and the one or more sets of personal tag co-occurrences.02-10-2011
20100121809Method and system for predicting test time - A computer implemented method and a system are disclosed for predicting the remaining numbers of error or the remaining time to the end of test mainly applicable in software projects. In at least one embodiment, the prediction can be improved by using the test progress of the current project and the gradient derived from at least one former project having similar characteristics as the current project e.g. release developments for determining parameters for a reliability growth model. The method and the system can be implemented by adapted software and hardware commercially available off the shelf.05-13-2010
20110099141Database Rating Index - Methods, computer-readable media, and apparatuses for determining the status of a clinical database in order to characterize the quality of the database. The status may be based on the proportion of outstanding items in relation to relative milestones. A database rating index for a database is determined from risk factors, where the database rating index is indicative of a status of the clinical database and may be determined from risk factors, where each risk factor includes an issue parameter and a subject parameter, the issue parameter equals the number of occurrences for the corresponding issue, and the subject parameter corresponds to the number of patients associated with the issue parameter. The database rating index may be determined from one of a set of functions that depend on an issue health score and a subject health score.04-28-2011
20110178978CHARACTERIZING AND PREDICTING AGENTS VIA MULTI-AGENT EVOLUTION - A method of predicting the behavior of software agents in a simulated environment involving modeling a plurality of software agents representing entities to be analyzed, which may be human beings. Using a set of parameters that governs the behavior of the agents, the internal state of at least one of the agents is estimated by its behavior in the simulation, including its movement within the environment. This facilitates a prediction of the likely future behavior of the agent based solely upon its internal state; that is, without recourse to any intentional agent communications. In one embodiment, the simulated environment is based upon a digital pheromone infrastructure. The simulation integrates knowledge of threat regions, a cognitive analysis of the agent's beliefs, desires, and intentions, a model of the agent's emotional disposition and state, and the dynamics of interactions with the environment.07-21-2011
20110178977BUILDING MANAGEMENT SYSTEM WITH FAULT ANALYSIS - A controller for a building management system is configured to analyze faults in the building management system. The controller detects a fault in the building management system by evaluating data of building management system using a system of rules. The controller determines a conditional probability for each of a plurality of possible fault causes given the detected fault. The controller determines the most likely fault cause by comparing the determined probabilities and electronically reports the most likely fault cause.07-21-2011
20090299947SYSTEMS, METHODS AND APPARATUS FOR ADIABATIC QUANTUM COMPUTATION AND QUANTUM ANNEALING - Various adaptations to adiabatic quantum computation and quantum annealing are described. These adaptations generally involve tailoring an initial Hamiltonian so that a local minimum is avoided when a quantum processor is evolved from the initial Hamiltonian to a problem Hamiltonian. The initial Hamiltonian may represent a mixed Hamiltonian that includes both diagonal and off-diagonal terms, where the diagonal terms at least partially define a center point of a first computation space that is at least partially contained within a second computation space. A problem Hamiltonian may be evolved into a low energy state by inhomogeneously inducing disorder in the qubits of the quantum processor. A higher degree of disorder may be induced in a subset of qubits predicted to contribute to a local minimum of the problem Hamiltonian.12-03-2009
20090292667Automatic updating apparatus, automatic updating method, and programmable storage medium embodying program to perform method for automatic updating - An automatic updating apparatus includes a start instructing unit that outputs an analysis start signal at given intervals, an access count analysis unit that calculates an access count for each of menus indicated in a menu list on a network in response to the analysis start signal, calculates predictive evaluated values based on a variation in the access count within a unit time for each of the menus indicated in the menu list, and outputs a start signal unless the predictive evaluated values are arranged in order of a magnitude relation, and a menu updating unit that acquires the predictive evaluated values according to the start signal, and updates contents of the menus indicated in the menu list according to respective magnitude relations of the predictive evaluated values.11-26-2009
20100030720METHODS AND APPARATUS FOR SELF-ADAPTIVE, LEARNING DATA ANALYSIS - Methods and apparatus for analyzing financial data generally includes a predictive modeling system. The predictive modeling system may include an artificial agent responsive to an input data set. The artificial agent may produce an estimated data set including a market conditions data set. The market conditions data may include an estimate of at least one of liquidity of a market, strategy of a counterparty, and an effect of information leakage. The artificial agent may determine a predictability value for the estimated data set. The predictive modeling system may also include an agent factory responsive to the input data set. The agent factory may generate an artificial agent in response to the input data set.02-04-2010
20110307438HIGH-DIMENSIONAL DATA ANALYSIS - Described herein is a framework for analyzing data in high-dimensional space. In accordance with one implementation, observed data and at least one input model parameter set is received. The input model parameter set serves as a solution candidate of a predefined problem (e.g., inverse or optimization problem) and is related to the observed data via a model. To provide enhanced computational efficiency, a reduced base with lower dimensionality is determined based on the input model parameter set. The reduced base is associated with a set of coefficients, which represents the coordinates of any model parameter set in the reduced base. Sampling is performed within the reduced base to generate an output model parameter set in the reduced base. The output model parameter set is compatible with the input model parameter set and fits the observed data, via the model, within a predetermined threshold.12-15-2011
20110307439METHODS AND APPARATUS FOR DISPLAYING PREDICTIONS ASSOCIATED WITH AN ALPHABETIC STRING - The present disclosure provides methods and apparatus for displaying an alphabetic string representing an amino acid sequence of an antibody in association with predicted characteristics of certain sites in the antibody. In an embodiment, a process causes a web based application server to receive an alphabetic string from a client device indicative of an amino acid sequence. The server then predicts sites in the amino acid sequence likely to be associated with certain chemical properties such as deamidation, glycosylation, oxidation, proteolysis, and isomerization. The server may also predict other characteristics such as domain boundaries, binding sites, hydrophobicity levels, surface exposures, etc. The server then sends data to the client device indicative of the predicted sites and characteristics, so that the client device can display the alphabetic string indicative of the amino acid sequence with a graphical indication of the position of each predicted chemical property (e.g., with a semitransparent glyph over the associated alphabetic character).12-15-2011
20110307437Local Causal and Markov Blanket Induction Method for Causal Discovery and Feature Selection from Data - In many areas, recent developments have generated very large datasets from which it is desired to extract meaningful relationships between the dataset elements. However, to date, the finding of such relationships using prior art methods has proved extremely difficult especially in the biomedical arts. Methods for local causal learning and Markov blanket discovery are important recent developments in pattern recognition and applied statistics, primarily because they offer a principled solution to the variable/feature selection problem and give insight about local causal structure. The present invention provides a generative method for learning local causal structure around target variables of interest in the form of direct causes/effects and Markov blankets applicable to very large datasets and relatively small samples. The method is readily applicable to real-world data, and the selected feature sets can be used for causal discovery and classification. The generative method GLL-PC can be instantiated in many ways, giving rise to novel method variants. In general, the inventive method transforms a dataset with many variables into either a minimal reduced dataset where all variables are needed for optimal prediction of the response variable or a dataset where all variables are direct causes and direct effects of the response variable. The power of the invention and significant advantages over the prior art were empirically demonstrated with datasets from a diversity of application domains (biology, medicine, economics, ecology, digit recognition, text categorization, and computational biology) and data generated by Bayesian networks.12-15-2011
20100198772DETERMINING CONVERSION PROBABILITY USING SESSION METRICS - Methods, systems, and apparatus, including computer program products, for determining a probability that a traffic conversion of a content item associated with a content source (e.g., website) will occur based on past traffic patterns for that content source. A traffic conversion defines, for example, minimum traffic interactions of one or more associated user sessions with a content source. The minimum traffic interactions can be based on, for example, the duration of the one or more user sessions on the content source, or a quantity of pages associated with the content source navigated in the one or more associated user sessions.08-05-2010
20090006305Methods and Systems for Constructing Bayesian Belief Networks - Methods and systems are described for simplifying a causal influence model that describes influence of parent nodes X01-01-2009
20120041920APPARATUS AND METHOD FOR GENERATING PROBABILISTIC GRAPHICAL MODEL BASED ON TIME-SPACE STRUCTURE - An apparatus for generating a probabilistic graphical model based on a time-space structure. The apparatus includes a first matrix generation unit configured to generate a first matrix having variables corresponding to stream data; a second matrix generation unit configured to classify the variables of the first matrix into either object variables that are objects of interest or input variables, acquire combination variables from multi-order combination of the input variables, and generate a second matrix using the acquired combination variables; and a model creation unit configured to create the probabilistic graphical model using the object variables of the first matrix and the combination variables of the second matrix.02-16-2012
20120254100SYSTEMS, METHODS, AND APPARATUSES FOR CLASSIFYING USER ACTIVITY USING TEMPORAL COMBINING IN A MOBILE DEVICE - Components, methods, and apparatuses are provided for determining activity likelihood function values for an activity classification for two or more past epochs based, at least in part, on signals from one or more sensors of a mobile device. A method may comprise, for each of a plurality of activity classifications, determining activity likelihood function values for each of the plurality of activity classifications for two or more past epochs. The activity likelihood function values may be based on signals from one or more sensors of a mobile device. The method may also include combining the activity likelihood function values to determine a likelihood function for an activity classification at a present epoch. The method may also include inferring a present activity of a user co-located with the mobile device to be one of the activity classifications based on the determined likelihood functions for the activity classifications at the present epoch.10-04-2012
20120047105MEDICAL CARE TREATMENT DECISION SUPPORT SYSTEM - Exemplary embodiments of the present invention will assist patients with their investigation of, and decision making about, the treatments that are available to them using conjoint analysis methods that measure individual preferences for risk-associated treatment options, while maintaining an acceptable interview length. In exemplary embodiments, such individual preferences, known as “utilities” in economics literature, will be combined with evidence-based outcomes data regarding the probabilities of treatment outcomes; exemplary embodiments will use “decision analysis” and modified “conjoint analysis” methods, to dynamically generate for patients real-time individualized, evidence-based feedback, rankings and recommendations regarding medical treatment alternatives that are available to the patient based on the patient's medical condition and prognostic indicators.02-23-2012
20120047103System and method for secure information sharing with untrusted recipients - System, method and computer program product for modelling information sharing domains as Partially Observable Markov Decision Processes (POMDP), and that provides solutions that view the information sharing as a sequential process where the trustworthiness of the information recipients is monitored using data leakage detection mechanisms. In one embodiment, the system, method and computer program product performs (i) formulating information sharing decisions using Partially Observable Markov Decision Processes combined with a digital watermarking leakage detection mechanism, and (ii) deriving optimal information sharing strategies for the sender and optimal information leakage strategies for a recipient as a function of the efficacy of the underlying monitoring mechanism. By employing POMDPs in information sharing domains, users (senders) can maximize the expected reward of their data/information sharing actions.02-23-2012
20120047102PREDICTING OR RECOMMENDING A USERS FUTURE LOCATION BASED ON CROWD DATA - A system and method for predicting a future location of a user are provided. In general, a prediction basis including crowd data describing crowds in which a user was included during a number of reoccurring time windows is generated. Each reoccurring time window may be, for example, a day of the week (i.e., Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, or Sunday), a portion of a day of the week (e.g., Monday Morning, Monday Afternoon, Monday Evening, Tuesday Evening, etc.), a day of the month (e.g., 1st day of the month), a day of the year (e.g., March 25th), or the like. The prediction basis of the user is then used to predict one or more future locations of the user.02-23-2012
20120047104COMPUTERIZED METHODS FOR ANALYZING COMPETING AND NON-COMPETING HYPOTHESES - Described is a system and method for analyzing competing and non-competing hypothesis. Diagnostic strength of evidence in connection with a competing hypothesis analysis is analyzed. Veracity of evidence in connection with a non-competing hypothesis analysis is analyzed.02-23-2012
20120005149EVIDENTIAL REASONING TO ENHANCE FEATURE-AIDED TRACKING - A process and system for enhancing tracking of one or more physical objects of interest within a search area updates track scores according to evidential reasoning. Predetermined information related to the underlying problem is stored in memory. An intermediate processor in communication between a tracking application and a reasoning engine determines for each tracked object of interest, a respective belief function, assigns an initial degree of belief, such that a component of the initial degree of belief is indicative of ignorance. Each respective belief function is forwarded to the reasoning engine. Further predetermined information related to the underlying problem indicative of a fusion network is also stored in memory and accessible to the reasoning engine. A belief supporting a respective identity for each of at least one tracked objects of interest is determined by the reasoning engine and returned to the tracking application through the intermediate processor.01-05-2012
20120005150Automated calibration method and system for a diagnostic analyzer - A method to track stability and performance of diagnostic instrumentation, especially for veterinary automated hematology analyzers, applies a weighted moving averages algorithm to the diagnostic results of patient samples calculated by the analyzer. Control chart rules are used to set limits or ranges in order to determine if weighted averaged diagnostic results are within or outside of such limits or ranges. If the weighted average diagnostic results are outside of such control chart rule limits, then fuzzy logic and a gradient descent algorithm are applied to the weighted averaged diagnostic results.01-05-2012
20110093428AUTOMATED FILLING OF CONDITIONAL PROBABILITY DATA IN A DECISION SUPPORT APPARATUS THAT USES A BAYESIAN BELIEF NETWORK - A computer implemented method is provided to expand a limited amount of input to conditional probability data filling a Bayesian Belief network based decision support apparatus. The conditional probability data defines conditional probabilities of states of a particular network node as a function of vectors of state values of a set of parent nodes of the particular network node in the Bayesian Belief network. The computer implemented method comprises receiving elicited conditional probability data that defines the conditional probabilities of the state values of the particular network node for a subset of all possible vectors of combinations of state values of the parent nodes. Conditional probability data defining the conditional probabilities of the state values of the particular network node for further possible vectors of state values of the parent nodes is interpolated from the elicited conditional probability data. The influence factors are determined.04-21-2011
20110093427SYSTEM AND METHOD FOR TAGGING SIGNALS OF INTEREST IN TIME VARIANT DATA - Disclosed herein are systems, computer-implemented methods, and computer-readable storage media for tagging a known signal of interest. Initially, the system classifies the data from an input signal using a short-term classifier, wherein there are at least two classifications available, a first classification of the data as having no identified outputs and a second classification of the data as at least one potential signal of interest, wherein the short-term classifier also bypasses data that is known to be of no interest. After the short-term classifier classifies the inputs, it collapses the input data that is classified as having no identified outputs. This allows the short-term classifier to create time-variant data. Finally, the system will tag a known signal of interest in the time-variant data that was classified as having at least one potential signal of interest. Therefore, a system for tagging a known signal of interest is described.04-21-2011
20120066167Assessing Trust in Information Sources - Techniques for assessing trust in information are provided. The techniques include collecting information from one or more information sources, detecting one or more inconsistencies in one or more statements from the information collected from the one or more sources, assigning a penalty to each information source involved in an inconsistency and a reward for each statement not involved in any inconsistencies, and using each assigned penalty and reward to perform an aggregation to assess trust in the collected information.03-15-2012
20120066172SYSTEMS, DEVICES, AND METHODS FOR ESTIMATION - A system, method and computer-readable medium for maximum a posteriori (MAP) estimation of a graphical model are disclosed. The MAP estimation process can include obtaining an encoded data message sent over a 4G cellular wireless network and generating a graphical model representation of the message. The graphical model can be converted into a nand Markov random field (NMRF). The MAP estimation process can also include determining whether the NMRF has a perfect graph structure, and solving for a MAP estimate configuration of the NMRF. The MAP estimation process can further include outputting the MAP estimate configuration, an indication of the MAP estimate configuration, and/or a result based on a combination of the MAP estimate configuration and the encoded data message (e.g., a decoded message).03-15-2012
20110167031METHOD, SYSTEM, AND COMPUTER-ACCESSIBLE MEDIUM FOR INFERRING AND/OR DETERMINING CAUSATION IN TIME COURSE DATA WITH TEMPORAL LOGIC - Time-course data with an underlying causal structure may appear in a variety of domains, including, e.g., neural spike trains, stock price movements, and gene expression levels. Provided and described herein are methods, procedures, systems, and computer-accessible medium for inferring and/or determining causation in time course data based on temporal logic and algorithms for model checking. For example, according to one exemplary embodiment, the exemplary method can include receiving data associated with particular causal relationships, for each causal relationship, determining average characteristics associated with cause and effects of the causal relationships, and identifying the causal relationships that meet predetermined requirement(s) as a function of the average characteristics so as to generate a causal relationship. The exemplary characteristics associated with cause and effects of the causal relationships can include an associated average difference that a cause can make to an effect in relation to each other cause of that effect.07-07-2011
20120066169TRUST MANAGEMENT SYSTEM FOR DECISION FUSION IN NETWORKS AND METHOD FOR DECISION FUSION - Disclosed is a trust management system for decision fusion in a network. The trust management system includes a detection subsystem having a plurality of sensors, and a plurality of channels. Each sensor of the plurality of sensors detects one of an occurrence and a non-occurrence of an event in the network. The trust management system further includes a fusion subsystem communicably coupled to the detection subsystem through the plurality of channels for receiving a decision of the each sensor and iteratively assigning a pre-determined weightage. The fusion subsystem ascertains a summation of respective decisions of the plurality of sensors and compares the weighted summation with a corresponding decision of the each sensor. The fusion subsystem further updates the assigned pre-determined weightage and determines the presence of the each sensor being one of a compromised sensor and a non-compromised sensor. Further disclosed is a method for decision fusion in a network.03-15-2012
20120066171METHODS OF EVALUATING A SUBJECT'S LIKELIHOOD TO RESPOND TO THERAPY BASED ON ANALYZING RELEVANT PARAMETERS OF THERAPY TARGETS - The disclosure relates to methods of predicting the effects of therapy, designing/conducting a clinical trial, selecting a subject for a clinical trial, selecting a subject for therapy, monitoring a subject's responsiveness to therapy, treating a subject, and predicting effects of anti-CD25 therapy.03-15-2012
20120066170NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM, SOUND-VOLUME PREDICTION APPARATUS, AND SOUND-VOLUME PREDICTION METHOD - A sound-volume prediction apparatus acquires model information on an electronic device and positional information on an air intake section and/or an air-exhaust section of the electronic device. Furthermore, by using the model information and the positional information, the sound-volume prediction apparatus extends a sound ray that indicates a transmission route of sound generated by a sound source inside the electronic device toward the air-intake section and/or the air-exhaust section from the position of the sound source until the sound ray reaches the outside of the electronic device. The sound-volume prediction apparatus predicts sound transmission characteristics inside the electronic device by using geometric information on the flow path of the extended sound ray.03-15-2012
20120066168OCCUPANCY PATTERN DETECTION, ESTIMATION AND PREDICTION - Systems and methods are described for predicting and/or detecting occupancy of an enclosure, such as a dwelling or other building, which can be used for a number of applications. An a priori stochastic model of occupancy patterns based on information of the enclosure and/or the expected occupants of the enclosure is used to pre-seed an occupancy prediction engine. Along with data from an occupancy sensor, the occupancy prediction engine predicts future occupancy of the enclosure. Various systems and methods for detecting occupancy of an enclosure, such as a dwelling, are also described.03-15-2012
20120066166Predictive Analytics for Semi-Structured Case Oriented Processes - A method for predictive analytics for a process includes receiving at least one trace of the process, building a probabilistic graph modeling the at least one trace, determining content at each node of the probabilistic graph, wherein a node represents an activity of the process and at least one node is a decision node, modeling each decision node as a respective decision tree, and predicting, for an execution of the process, a path in the probabilistic graph from any decision node to a prediction target node of a plurality of prediction target nodes given the content.03-15-2012
20090192973Multi-Objective Optimization Using Weight Adjustment of Initial and Corrected Solutions - A multi-objective optimization apparatus provides a weight adjustment apparatus, method, and computer program product, to perform optimization while reflecting user's demands. The multi-objective optimization apparatus for adjusting weights of a plurality of evaluation items includes a correction accepting unit for accepting an operation for correcting an initial solution as one of solutions to the plurality of evaluation items, and a weight adjustment unit for adjusting weights of the plurality of evaluation items using the initial solution based on the corrected solution as a corrected initial solution.07-30-2009
20120209801DECIDING AN OPTIMAL ACTION IN CONSIDERATION OF RISK - A method and system for deciding an optimal action in consideration of risk. The method includes the steps of: generating sequentially, by way of a Markov decision process based on a Monte Carlo method, a series of data having states on a memory of a computer; computing a risk measure of a present data by tracking generated data from opposite order to generation order, where the risk measure is calculated from a value at risk or an exceedance probability that is derived from risk measures of a plurality of states transitionable from a state of the present data; and executing the step of computing the risk measure while tracking back to starting data, where at least one of the steps is carried out using a computer device.08-16-2012
20120023060ELECTRONIC DEVICE WITH AUTOMATIC MODE SWITCHING - An electronic device for predicting or anticipating a user's operational desires. The electronic device is ready to perform the anticipated function without input from the user by using sensors to sense environmental attributes. The sensors can include an ambient light sensor, a force sensor, a temperature sensor, an ambient noise sensor, and a motion sensor. The electronic device also includes a control mechanism for switching between modes for the device.01-26-2012
20120023061ASYMMETRICAL PROCESS PARAMETER CONTROL SYSTEM AND METHOD - A technique is disclosed for asymmetrically controlling a process parameter based upon the direction of a prediction error between a predicted value determined using an inferential model and a laboratory measurement of the parameter. The present technique provides for the adaptive biasing of the predicted value based upon the direction of the prediction error. In one embodiment, a biasing factor may be determined by filtering the prediction error, such that the prediction error is emphasized more heavily in the biasing factor if the prediction error is in a less tolerable direction and emphasized less heavily if the prediction error is in the opposite direction. The biasing factor may further be determined as a function of a previous biasing factor computed during the process. Asymmetric control of the process parameter may be performed by controlling the parameter using model predictive control techniques based on the biased predicted values of the parameter.01-26-2012
20120023059Statistical Word Boundary Detection in Serialized Data Streams - Methods, systems, and devices using an algorithm that consists of scoring the bits in the data stream with a periodicity of N, where N is the word-length in bits, and then selecting as the most significant bit the one which receives the highest score after some large number of samples are disclosed. The condition under which bit b01-26-2012
20120023058SYSTEMS AND METHODS FOR MONITORING AUTOMATION SYSTEMS - Systems and methods are disclosed for monitoring operation of an automation system that includes a plurality of interconnected logical objects. The systems and methods may build a fuzzy cognitive map to model an interdependence of the plurality of interconnected logical objects upon one another. In some examples, the systems and methods may identify a non-ideality associated with at least one of the plurality of logical objects and determine from the fuzzy cognitive map an effect of the non-ideality on the operation of the automation system. In some examples, the systems and methods may determine from the fuzzy cognitive map a first one of the plurality of logical objects that affects a second one of the plurality of logical objects to a greater extent than do the remaining ones of the plurality of logical objects.01-26-2012
20120059788RATING PREDICTION DEVICE, RATING PREDICTION METHOD, AND PROGRAM - Provided is a rating prediction device including a posterior distribution calculation unit for taking, as a random variable according to a normal distribution, each of a first latent vector indicating a latent feature of a first item, a second latent vector indicating a latent feature of a second item, and a residual matrix Rh of a rank h (h=0 to H) of a rating value matrix whose number of ranks is H and which has a rating value expressed by an inner product of the first and second latent vectors as an element and performing variational Bayesian estimation that uses a known rating value given as learning data, and thereby calculating variational posterior distributions of the first and second latent vectors, and a rating value prediction unit for predicting the rating value that is unknown by using the variational posterior distributions of the first and second latent vectors.03-08-2012
20120059789VEHICULAR ENVIRONMENT ESTIMATION DEVICE - Disclosed is a vehicular environment estimation device capable of accurately estimating a travel environment around own vehicle on the basis of a predicted route of a mobile object or the like, which is moving in a blind area. A vehicular environment estimation device that is mounted in the own vehicle detects a behavior of another vehicle in the vicinity of the own vehicle, and estimates a travel environment, which affects the traveling of another vehicle, on the basis of the behavior of another vehicle. For example, the presence of another vehicle, which is traveling in a blind area, is estimated on the basis of the behavior of another vehicle. Therefore, it is possible to estimate a vehicle travel environment that cannot be recognized by the own vehicle but can be recognized by another vehicle in the vicinity of the own vehicle.03-08-2012
20120059787Dynamically Manipulating An Emoticon or Avatar - Graphical user representations, such as emoticons or avatars, used to convey mood and emotion, can be dynamically modified and manipulated, e.g. by squeezing, rotating, distorting, colouring, etc. This enables a user to customize or tailor an existing emoticon to better reflect the user's current mood or emotion. For example, a user may insert a smiley face emoticon 03-08-2012
20120123993Action Prediction and Identification Temporal User Behavior - User behavior modeling can include determining temporal- or time-based actions performed by various users. From the mined temporal-based 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.05-17-2012
20120158638CLASSIFICATION RECOMMENDATION BASED ON SOCIAL ACTIONS - Embodiments are directed towards employing a classifier to determine a classification for target media content using nominally factored social interaction attributes, the classifier being trained using a training dataset that includes at least one nominally factored social interaction attribute. The trained classifier determines a classification of the target media content based on nominally factored social interaction attributes obtained during a monitored social interaction with the target media content and one or more users. The classification may include identifying at least one genre for the media content, as well as predicting whether the media content will go viral or not. The classification may also be used to provide recommendation to the one or more users of other media content.06-21-2012
20120072388DEVICE, METHOD, AND PROGRAM FOR SELECTING OS IMAGE - A computer-implemented method, selection program, device and article of manufacture for selecting images of one or more operating systems (OS) that are cached in a target data processing system. The method can be implemented in a provisioning system where the system includes a first pool having the images of a plurality of different OS and a second pool having a plurality of data processing systems. The method includes: calculating the probability that the respective OS images in the first pool will be used in the next provisioning; and determining a combination of one or more OS images as one or more OS images to be cached.03-22-2012
20110093426Fuzzy hash algorithm - An embodiment of the invention provides a method for and an apparatus for classifying a data object by use of a fuzzy hash. The method and apparatus can perform steps including: aligning a window in a target data object; reading content within the window; hashing the content within the window in order to calculate a hash value; splicing a spliced portion from the hashed value; and storing the spliced portion as part of a fuzzy hash.04-21-2011
20110066584SIGNIFICANCE EVALUATION PROGRAM AND RECORDING MEDIUM - The program makes a computer function as a significance evaluation unit including a statistical equation storage unit which stores algorithms of a plurality of statistical methods, a significance probability calculation unit which calculates significance probability for each of the evaluation items with the algorithm read out from the statistical equation database based on an input signal indicating one statistical method selected, a significance determination unit which determines a magnitude relationship between the significance probability and a significance level which is previously set or input and gives significance information to each of the evaluation items, and an evaluation result output unit which makes a display device output a matrix table in which the same number of cells as that of the evaluation items are provided such that each cell is corresponded to each evaluation item and cells of n columns or n rows are arranged.03-17-2011
20110066586AN APPARATUS AND A METHOD FOR AUTOMATIC TREATMENT ADJUSTMENT AFTER NERVOUS SYSTEM DYSFUNCTION - The present invention relates to an apparatus for automatic adjustment of a treatment of a target person to be treated based on calculated recovery prediction data for predicting a change of a sensory function of said target person in response to said treatment.03-17-2011
20110106748TECHNIQUE FOR FAST POWER ESTIMATION USING PROBABILISTIC ANALYSIS OF COMBINATIONAL LOGIC - A method for computing power consumption includes querying a software database for a key node and a gate comprising an input port, connected to the key node, and an output port. The software database is created from a net list associated with a design. The method includes calculating a probability of activity level at the output port based on a predetermined activity level at the key node, and querying the software database for next gate comprising a next input port, connected to the previous output port, and a next output port. The method includes calculating a probability of activity level at the next output port based on the probability of activity level at the previous output port. The method includes computing a sub-circuit gate power by sum of power of all the gates based on the probability of activity level at output ports of the gates.05-05-2011
20110106747TURBINE LIFE ASSESSMENT AND INSPECTION SYSTEM AND METHODS - A system for creating an inspection or part replacement recommendation for a unit forming a part of a fleet includes an assessment module that receives inputs from at least one portion of at least one turbine and produces an inspection recommendation. The assessment module includes a health assessment module that creates a risk of event estimate based on the inputs and historical operations data and a performance analyzer coupled to the health assessment module that creates the inspection or part replacement recommendation based on the risk of event estimate and information related to a cost.05-05-2011
20110106749Personalized Prognosis Modeling in Medical Treatment Planning - Automated treatment planning is provided with individual specific consideration. One or more prognosis models indicate survivability as a function of patient specific information for a given dose. By determining survivability for a plurality of doses, the biological model represented by survivability as a function of dose is determined from the specific patient. Similarly, the chances of complications or side effects are determined. The chance of survivability and chance of complication are used as or instead of the tumor control probability and normal tissue complications probability, respectively. The desired tumor dosage and tolerance dosage are selected as a function of the patient specific dose distributions. The selected dosages are input to an inverse treatment planning system for establishing radiation treatment parameters.05-05-2011
20100094796QUANTUM STATE TOMOGRAPHY WITH YES/NO MEASUREMENTS - Apparatus and methods are disclosed for performing quantum state tomography from the statistics of a collection of measurements, each of which has only two possible outcomes and has the feature of being a measurement of a single qubit. By carefully choosing the measurements it becomes possible to infer the state of a quantum system from the statistics. Moreover, the function which computes the state from the measurement statistics can be computed efficiently in the dimension of the underlying system. It is also possible to explicitly construct such yes/no measurements for all dimensions in which a (+1/−1 valued) Hadamard matrix exists.04-15-2010
20100094795GENE EXPRESSION BARCODE FOR NORMAL AND DISEASED TISSUE CLASSIFICATION - A computer-based method of creating a gene expression barcode includes the steps of determining an intensity of expression for each gene in a set of genes in a plurality of samples for at least one type; selecting genes in the set of genes that have at least two expression modes, based on the intensity; and creating a gene expression reference barcode, wherein each barcode bar corresponds to a selected gene and wherein the bar value is coded according to whether an intensity value for a selected gene is below or above a threshold value. The gene expression reference barcodes may then be compared with a similarly created barcode for a sample, for the purposes of identifying the sample, diagnosing a disease, and/or predicting a prognosis of a disease.04-15-2010
20120123994ANALYZING DATA QUALITY - Methods, computer readable media, and apparatuses for analyzing data quality are presented. Transaction information may be received from a database, and the transaction information may describe various aspects of a plurality of transactions handled by an organization. Subsequently, a forecast may be calculated based on the transaction information, and the forecast may predict the future value of a metric. An upper control limit and a lower control limit for the metric may be determined based on the transaction information. Thereafter, the latest actual value of the metric may be computed. A normalized quality score for the metric then may be calculated based on the latest actual value of the metric, the forecast, the upper control limit, and the lower control limit. Optionally, a chart may be generated to evaluate data quality for a plurality of metrics, and metrics that exceed a control limit may be added to an issue log.05-17-2012
20090132459PROCESSES FOR IMPROVING THE UTILITY OF PERSONALIZED RECOMMENDATIONS GENERATED BY A RECOMMENDATION ENGINE - A recommendation system increases the diversity of item recommendations provided to a target user by using item similarity data to filter an initial recommendation set. In one embodiment, selected items are filtered from the initial recommendation set based on similarity scores that represent degrees of similarity between particular items. The similarity scores may be generated based on an automated comparison of item attributes or content, or based on another measure of item similarity.05-21-2009
20090132460Tailoring Medication to Individual Characteristics - Disclosed is a medical outcome prediction tool that predicts an individual patient's medical outcomes by identifying patients having a same disease; selecting a set of characteristics unique to an individual; determining the similarities between the individual and other cases; and calculating the expected outcome for the individual that is proportional to a weighted sum of outcomes of similar cases. The similarities can be determined by calculating the number of matches between the individual and cases over the set of characteristics, and using that result to determine a similarity score.05-21-2009
20120221506Method for quantifying amplitude of a response of a biological network - One or more measurement signatures are derived from a knowledge base of casual biological facts, where a signature is a collection of measured node entities and their expected directions of change with respect to a reference node. The knowledge base may be a directed network of experimentally-observed casual relationships among biological entities and processes, and a reference node represents a perturbation. A degree of activation of a signature is then assessed by scoring one or more “differential” data sets against the signature to compute an amplitude score. The amplitude score quantifies fold-changes of measurements in the signature. In one particular embodiment, the amplitude score is a weighted average of adjusted log-fold changes of measured node entities in the signature, wherein an adjustment applied to the log-fold changes is based on their expected direction of change. In an alternative embodiment, the amplitude score is based on quantity effects.08-30-2012
20120221505Recommendation network - A recommendation network is described. In some embodiments, the recommendation network includes recommenders that explicitly or implicitly recommend, rate or refer items and recommendation receivers that receive the recommendations. In some embodiments, the recommenders can be recommendation receivers, and vice versa. In some embodiments, recommendation receivers assign rust ratings to recommenders. The recommendation receiver can assign separate trust ratings to individual topics for which the recommendation receiver trusts the recommender. The separate trust ratings represent the recommendation receiver's amount of trust in the recommender to makes valuable recommendations for the specific topic. The recommendation network can use the separate trust ratings, along with ratings provided by the recommender, to rank recommendations per the separate topics. The recommendation receiver can assign the recommender to different bundles, topics, channels, etc. to which other recommendation receivers can subscribe.08-30-2012
20120130935Conservation dependencies - Given a set of data for which a conservation law is an appropriate characterization, “hold” and/or “fail” tableaux are provided for the underlying conservation law, thereby providing a conservation dependency whereby portions of the data for which the law approximately holds or fails can be discovered and summarized in a semantically meaningful way.05-24-2012
20120130938NETWORK STATE PREDICTION DEVICE, MOBILE COMMUNICATION SYSTEM, MOBILE COMMUNICATION METHOD, AND STORAGE MEDIUM - A network state prediction device 05-24-2012
20120130937SECURITY AT A FACILITY - Techniques described in this paper are associated with improving security at a facility. A system constructed in accordance with the techniques can assist security personnel with preventing incidents (e.g., crime, disorder, nuisance, property loss) at a facility, especially one open to public visitation (e.g., amusement parks, casinos, shopping centers). Assisting security personnel in preventing incidents can include readily providing adequate and appropriate security and non-security related information to security personnel, whether the security personnel (e.g., security officer) is stationed in a security office or on patrol (i.e. in the field) at the facility.05-24-2012
20120130936SYSTEM AND METHOD FOR DETERMINING FUZZY CAUSE AND EFFECT RELATIONSHIPS IN AN INTELLIGENT WORKLOAD MANAGEMENT SYSTEM - The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified. As such, fuzzy logic may the be applied to any such patterns to determine possible relationships among the potential causes and the potential effects associated with the infrastructure operational state.05-24-2012
20100332437System For Generating A Media Playlist - A system for generating a media playlist comprising a media management module operable to select a first media item from a plurality of media items stored in a media database for playback; and using raw user input data representing a measure of the popularity of the first media item, generate preference data representing a refined user preference for the first media item; wherein the preference data is used to determine a second media item from the plurality of media items for playback.12-30-2010
20100205138 Method for Constructing an Intelligent System Processing Uncertain Causal Relationship Information - The present invention disclosed a method constructing an intelligent system processing uncertain causal relationship information. It can express, monitor and analyze the causal logic relationship among the different variables in complex systems directly, implicitly or in both way of them under the circumstance of unsure, dynamic, having a logic loop, lacking of statistical data, unclear evidence, mixture of discrete and continuous variables, incomplete knowledge, multi-resource of knowledge. It gave effective bases to solve the problems in the domain of production, monitoring, detection, diagnosis, prediction, et al.08-12-2010
20100205137Optimizing Power Consumption and Performance in a Hybrid Computer Evironment - A method for optimizing efficiency and power consumption in a hybrid computer system is disclosed. The hybrid computer system may comprise one or more front-end nodes connected to a multi-node computer system. Portions of an application may be offloaded from the front-end nodes to the multi-node computer system. By building historical profiles of the applications running on the multi-node computer system, the system can analyze the trade offs between power consumption and performance. For example, if running the application on the multi-node computer system cuts the run time by 5% but increases power consumption by 20% it may be more advantageous to simply run the entire application on the front-end.08-12-2010
20120254096Portable Inferred Interest and Expertise Profiles - A computer-implemented portable inferred interests and expertise profiling system generates an inferred user profile embodied as an inference vector, which is generated based on inferences from behavioral information and in accordance with standardized tags that are associated with topical areas in a first system. The inferences may be of, for example, interests or levels of expertise. Recommendations are then generated based on the inference vector and a different set of topics. Multiple inference vectors may be combined into a composite inference vector, which can serve as a basis for recommendations generated with respect to different sets of topics than those that informed the generation of the composite inference vector.10-04-2012
20120254097Activity Stream-Based Recommendations System and Method - A computer-implemented activity stream-based recommendations system delivers recommendations in accordance with a selected item of an activity stream, inferences of interests based on usage behaviors, and a contextual neighborhood of objects. In addition, or alternatively, the recommendations may be generated in accordance with an inference of expertise. The contents of the objects in the activity stream may be generated by humans or automatically by a processor-based device. Explanations for the recommendations may be delivered to recommendation recipients.10-04-2012
20120173474METHOD AND SYSTEM FOR PREDICTING TRAVEL TIME BACKGROUND - A method and system is provided for predicting at a current time “t”, a time that may be taken to travel between plurality of locations, at a future time-point “t+τ”. The method includes determining deterministic component “μ07-05-2012
20120254101MEDICAL DIAGNOSIS SUPPORT APPARATUS AND MEDICAL DIAGNOSIS SUPPORT METHOD - A medical diagnosis support apparatus which provides information for supporting medical diagnosis includes an inference unit which obtains an inference result based on a combination of already input information and each non-input information, an evaluation unit which evaluates each non-input information by using an inference result on the already input information which is obtained by the inference unit and an inference result on the each non-input information which is obtained by the inference unit, and a selection unit which selects non-input information to be presented from the non-input information based on the evaluation obtained by the evaluation unit.10-04-2012
20120254098Adaptive Expertise Clustering System and Method - A computer-implemented adaptive expertise clustering system and method generates expertise cohorts based on inferences from behavioral information and applies the expertise cohorts in generating recommendations for delivery to users. The expertise clustering may be informed by the evaluation of the contents of computer-implemented objects. Behaviors associated with members of specific expertise cohorts after specific events may inform the recommendations. Recommendations may comprise, for example, other users or process steps. Explanations for the recommendations may be provided to recommendation recipients.10-04-2012
20120215736PATTERN RECOGNITION - A method for pattern recognition performed by a physical computing system includes, with the physical computing system, structuring data as a bi-partite graph, a set of instance nodes within the graph representing instances within the data and a set of property nodes within the graph representing properties of the instances, edges between the instance nodes and the property nodes representing values of the properties, assigning a transition probability function to each of the instance nodes and to each of the property nodes, and applying a random walker to the graph, the random walker utilizing the transition probability functions.08-23-2012
20120215735System and Method for Data Fusion with Adaptive Learning - There are disclosed techniques for performing data fusion. In one embodiment, the technique comprises: (a) receiving an input; (b) processing the input in accordance with parameters of a stochastic model to derive a state of a stochastic process of the stochastic model, the parameters of the stochastic model previously established during a training period; (c) obtaining a predicted next state of the stochastic process; (d) receiving a next input and processing the next input in accordance with the parameters of the stochastic model to derive a next state of the stochastic process; (e) comparing either (i) the next state and the predicted next state, or (ii) the next input and a predicted next input corresponding to the predicted next state; and (f) if there is a discrepancy between that compared in (e), then using the next input to modify the parameters of the stochastic model.08-23-2012
20120215734MAINTENANCE FIGURE OF MERIT SYSTEM AND METHOD FOR OBTAINING MATERIAL CONDITION OF SHIPS - The Maintenance Figure of Merit system of systems provides four integrated operating sub-systems: Material Condition Reporting, Master Database, Algorithm and Report Generator. The master database is capable of accepting inputs from interfaced applications and interfaced data. The algorithm is capable of operating upon the data to produce outputs that can be used to predict fleet or ship readiness.08-23-2012
20100299303Automatically Ranking Multimedia Objects Identified in Response to Search Queries - Construct a statistical model for a plurality of multimedia objects identified in response to a search query, the statistical model comprising a plurality of probabilities, wherein each of the multimedia objects uniquely corresponding to a different one of a plurality of sets of feature values, each of the feature values of each of the sets of feature values being a characterization of the multimedia object corresponding to the set of feature values, and each of the probabilities being calculated for a different one of the multimedia objects based on the set of feature values corresponding to the multimedia object. Rank the multimedia objects based on their corresponding probabilities, such that a multimedia object having a relatively higher probability is ranked relatively higher.11-25-2010
20100299302TRAFFIC DISCOVERY - Discovering communication traffic in a computer network is useful to administrators of computer networks. Communication packets from a communication transaction on the network are read to determine a source computing device and to determine whether the communication transaction contains a data pattern match to one of a plurality of defined data patterns. If a match is made to an exact data pattern, the source computing device is associated with an application or service corresponding to that exact data pattern. If a match is made to a statistical data pattern, the source computing device is associated with an application or service corresponding to that statistical data pattern if a threshold number of data pattern matches have occurred for that statistical data pattern for the source computing device.11-25-2010
20100049688LINK INFORMATION EXTRACTING APPARATUS, LINK INFORMATION EXTRACTING METHOD, AND RECORDING MEDIUM - A storage unit stores first link information classified into a particular type. A take-in unit takes in a plurality of pieces of electronic information. A classifier unit classifies each piece of the electronic information taken in by the take-in unit into first electronic information which describes the first link information and second electronic information which does not describe the first link information. A generator unit generates third link information based on second link information when the first electronic information describes the second link information that is different from the first link information. An output unit generates possibility information indicative of a possibility that the third link information is classified into a particular type, based on the third link information and at least the first or second electronic information, and outputs the possibility information and the third link information in association with each other.02-25-2010
20120179640TASK RELIABILITY ANALYSIS METHOD AND APPARATUS - The embodiment of the invention relates generally to the methods and systems to determine the reliability of human-computer interactions for achieving a mission task in an automated system using a Task Reliability Analysis Tool (TRAT). In some examples, the TRAT can capture the details of human computer interactions while performing operator actions, allocating time-on-action distribution and conducting task evaluations. The allocated time-on-action distribution to the operator actions and to each task can be used subsequently to predict time to complete a task, and likelihood of failure for an infrequently performed task.07-12-2012
20100010956METHOD OF DETERMINING THE PROBABILITY THAT DATA IS ASSOCIATED WITH A SOURCE OF A PLURALITY OF SOURCES - The present invention provides a method and apparatus for determining the probability that sampled data, associated with a source and obtained from a plurality of data input sources, are from a known source, given prior observed data obtained by the plurality of data input sources for one or more known sources. In one embodiment the data input sources are sensors for detecting molecules conveyed though the air and the method comprises identifying a source of the molecules. The present invention also provides a method of determining information about the position of at least one sensor relative to a previously known type of source.01-14-2010
20120226654GENERATING A SET OF SOLUTIONS TO A MULTI-OBJECTIVE PROBLEM - A method of generating a set of solutions to a route-planning problem includes iteratively applying a Probability Collective (PC) method, each iteration including sampling from a probability distribution defined over a set of decision variables relating to a route-planning problem and using an archive set of decision variables and a set of the sampled decision variables to update the probability distribution for use in a subsequent PC method iteration. A set of solutions, each including at least one decision variable with an associated objective function result evaluated by the PC method iterations, is output.09-06-2012
20120185424FlexSCAPE: Data Driven Hypothesis Testing and Generation System - The present invention relates to a method for generating hypotheses automatically from graphical models built directly from data. The method of the present invention links three key scientific concepts to enable hypothesis generation from data driven hypothesis-models: including the use of information theory based measures to identify informative feature subsets within the data; the automatic generation of graphical models from the informative data subsets identified from step one; and the application of optimization methods to graphical models to enable hypothesis generation. The integration of these three concepts can enable scalable approaches to hypothesis generation from large, complex data environments. The use of graphical models as the model representation can allow prior knowledge to be effectively integrated into the modeling environment.07-19-2012
20120084249METHOD FOR POLLEN-BASED GEOLOCATION - A method for pollen-based geolocation. The method determines the probability P that a given location is part of the travel history of a given sample. Using simulated datasets and Monte Carlo simulation, the model parameters can be precisely associated with P, thereby allowing the algorithm to operate on real-life samples of interest.04-05-2012
20120084248PROVIDING SUGGESTIONS BASED ON USER INTENT - One or more techniques and/or systems are disclosed herein for providing prioritized suggestions to a user of a mobile device, for example, in real-time based on an intent of the user. A user routine is identified by identifying a plurality of historical user patterns, such as for travel, data consumption, communications, etc. A real-time context for the user, such as what the user is currently engaged in or what's going on around them, is identified using real-time contextual data from one or more sensors. The intent of the user is determined by comparing the user routine with the real-time context for the user, and suggestions are prioritized for the user, based on the intent, such as in a mobile device display.04-05-2012
20120259808PREDICTING THE OUTCOME OF A CHAOTIC SYSTEM USING LYAPUNOV EXPONENTS - Systems and methods for predicting the outcome of chaotic systems are described. An example of a prediction system disclosed herein includes, in general, functional elements to vary the initial conditions of a chaotic system and calculate a plurality of possible trajectories for the chaotic system. The prediction system also includes calculating a Lyapunov exponent for each of the plurality of possible trajectories and selecting the trajectory with the smallest Lyapunov exponent as the most likely trajectory to occur.10-11-2012
20120233110Determining Probability Than An Object Belongs To A Topic Using Sample Items Selected From Object And Probability Distribution Profile Of The Topic - An object potentially belongs to a number of topics. Each topic is characterized by a probability distribution profile of a number of representative items that belong to the topic. Sample items are selected from the object, less than a total number of items of the object. A probability that the object belongs to each topic is determined using the probability distribution profile characterizing each topic and the sample items selected from the object.09-13-2012
20120233111INTELLIGENT AIRFOIL COMPONENT SURFACE INSPECTION - An apparatus includes a positioning system; a surface indicator system to collect an indication data set from a surface of a component utilizing a fluorescent penetration process; an indication data processing system to create an output data set in response to the indication data set utilizing a fuzzy logic algorithm; and a microprocessor to provide at least one surface variance in response to the indication data set and the output data set. A method including conducting a surface indication technique for a component; utilizing a positioning algorithm to manipulate positioning equipment in response to the component; directing an indication source to a surface of the component; collecting an indication data set in response to directing the indication source; applying a fuzzy logic analysis in response to the indication data set to provide an output data set; and providing at least one surface variance in response to the output data set.09-13-2012
20120265723DETERMINING WHEN TO CREATE A PREDICTION BASED ON DELTAS OF METRIC VALUES - In an embodiment, deltas are calculated between respective current metric values for respective entities and previous metric values for the respective entities. A subset of the deltas is determined. A sum of the subset is calculated, and the sum is divided by a number of the subset to create an average delta for the subset. If one of the respective entities has one of the deltas that is greater than or equal to the average delta for the subset and the one of the respective entities was not previously used to create the previous prediction, then a current prediction is created.10-18-2012
20110047121ANALYSIS OF THE MIRROR NEURON SYSTEM FOR EVALUATION OF STIMULUS - The human mirror neuron system includes neurons that fire both when an individual performs an action and when the individual observes the action being performed by another. Neuro-response data involving the mirror neuron system is collected as a subject is exposed to stimulus material. The stimulus material may include individuals performing actions such as making a purchase, accepting an offer, participating in an activity, etc. Neuro-response data involving the mirror neuron system of the subject is analyzed to determine the propensity of the subject to act.02-24-2011
20120271792Efficiently Determining Boolean Satisfiability with Lazy Constraints - A mechanism is provided for efficiently determining Boolean satisfiability (SAT) using lazy constraints. A determination is made as to whether a SAT problem is satisfied without constraints in a list of constraints. Responsive to the SAT problem being satisfied without constraints, a set of variable assignments that arc determined in satisfying the SAT problem without constraints are fixed. For each constraint in the list of constraints, a determination is made as to whether the SAT problem with the constraint results in the set of variable assignments remaining constant. Responsive to the SAT problem with the constraint resulting in the set of variable assignments remaining constant, the constraint is added to a list of non-affecting constraints and a satisfied result is returned.10-25-2012
20120323839ENTITY RECOGNITION USING PROBABILITIES FOR OUT-OF-COLLECTION DATA - A classifier that disambiguates among entities based on a dictionary, such as corpus of documents about those entities, is built by incorporating probabilities that an entity exists that is not in the dictionary. Given a document it is associated by the classifier with an entity. By incorporating out of collection probabilities into the classifier, a higher level of confidence in the match between an entity and a document is achieved.12-20-2012
20120323838DYNAMIC HEURISTIC WEB PAGE CACHING BASED ON THE USER'S RECENT PAGE VISITS - In accordance with aspects of the present disclosure, a method, product, apparatus and system is disclosed. The method includes monitoring, by a processor, a predetermined number of web pages viewed by a user; determining a likelihood that the user is interested in a related web page based on previously viewed web pages; comparing the determined likelihood against a predetermined threshold value; and preloading the related web page for viewing by the user if the determined likelihood is greater than the predetermined threshold value.12-20-2012
20110238615SYSTEMS AND METHODS FOR TREND AWARE SELF-CORRECTING ENTITY RELATIONSHIP EXTRACTION - Methods and systems for trend aware self-correcting entity relationship extraction are disclosed. For example, a method can include receiving a selected entity, determining a plurality of entities related to the selected entity, determining a plurality of most probable entities, calculating relevance scores, and displaying a subset of the plurality of most probable entities. The selected entity can be received on a network-based transaction system. The plurality of entities related to the selected entity can be determined based on a relationship score. The relationship score can represent navigation transitions, aggregated over time, between the selected entity and each of the plurality of entities. The plurality of most probable entities can be determined based on probabilities. Relevance scores can be calculated for each of the plurality of most probable entities. Finally, the subset of the plurality of most probable entities to be displayed can be determined according to the relevance scores.09-29-2011
20110238613COMPARING DATA SERIES ASSOCIATED WITH TWO SYSTEMS TO IDENTIFY HIDDEN SIMILARITIES BETWEEN THEM - A method that includes: sampling a plurality of parameters associated with a first and a second system to yield a first and a second set of data series, respectively, each data series being associated with samples of a respective parameter; applying, for each two respective data series, a transformation associated with a specified order selected from a plurality of ordered transformations, such that the selected transformation is applied repeatedly to at least one of the two respective data series, wherein, in each repeated application, the transformation is assigned with a different value of a transformation parameter; determining, for each parameter, a one of the plurality of transformation parameters for which the correlation level of the two respective time series is above a specified value; and repeating the applying and the determining with a transformation that is associated with a higher order of the ordered transformations.09-29-2011
20100169265Scoring Persons and Files for Trust in Digital Communication - A method, using trust software executing from a machine-readable medium on a computerized appliance operating as a trust authority, to assign to a person, a file, or an enterprise an indication of trustworthiness, includes steps of (a) assembling information concerning the person, file, or enterprise; (b) applying trust logic to the information assembled for individual ones of the persons, files or enterprises to assign a trust score; and (c) storing the score associated with at least an identity of the person, file or enterprise.07-01-2010
20100169264PREDICTING EMAIL RESPONSE PATTERNS - An email activity pattern of a user is analyzed. A time probability for the user to act on an email sent to the user is determined based upon, at least in part, the email activity pattern of the user.07-01-2010
20120278271System and Method for Expanding Variables Associated a Computational Model - Disclosed is a system and method for expanding variables within a computational model. The computational model, which can be a Bayesian-network, includes input and output variables that are interrelated via a conditional probability table. Term expansion is accomplished via a lexical database and a logic engine to determine semantic equivalents that are relevant to the computational model. The expanded terms allow the computational model to be related to instance data, which may be in the form of a dynamic ontology. Input variable expansion permits the computational model to be populated with semantically relevant instance data from the ontology, and output variable expansion permits the computational model to be associated with semantically relevant ontology nodes.11-01-2012
20120278272SYSTEM AND METHOD FOR DISAGGREGATING POWER LOAD - Systems and methods of disaggregating power load are provided. An example of a method is carried out by program code stored on non-transient computer-readable medium and executed by a processor. The method includes receiving time series data representing total energy consumption. The method also includes identifying distinguishing features in the time series data. The method also includes identifying energy consumption constituents of the total energy consumption based on the features.11-01-2012
20120089553Systems and Methods for Assessment of Fatigue-Related Contextual Performance Using Historical Incident Data - Disclosed herein are methods for transforming numerical output of mathematical-fatigue models into contextual performance metrics, including without limitation, performance, incident and/or accident-related metrics associated with particular activities and/or with particular environments, such as but not limited to: the number and severity of injuries or cost of repairs associated with a particular incident, increases in insurance premiums, a performance rate, an error rate and/or the like.04-12-2012
20120089552RAPID IMAGE ANNOTATION VIA BRAIN STATE DECODING AND VISUAL PATTERN MINING - Human visual perception is able to recognize a wide range of targets but has limited throughput. Machine vision can process images at a high speed but suffers from inadequate recognition accuracy of general target classes. Systems and methods are provided that combine the strengths of both systems and improve upon existing multimedia processing systems and methods to provide enhanced multimedia labeling, categorization, searching, and navigation.04-12-2012
20110276532AUTOMATIC SOURCE CODE GENERATION FOR COMPUTING PROBABILITIES OF VARIABLES IN BELIEF NETWORKS - A system for computing probabilities of variables in a belief network includes a data acquisition interface configured to receive data representative of the belief network. The system further includes a partial evaluator configured to carry out a partial evaluation algorithm that determines the probability calculations that must be performed on the received data in order to compute the probabilities of the variables in the belief network. The system further includes a source code generator configured to output the probability calculations as a source code in a programming language.11-10-2011
20120095953PREDICTING USER INTERACTIONS DURING IMAGE PROCESSING - The invention relates to an apparatus for processing images by means of a series of user interactions. When processing an image, the user follows a series of interactions. Preferably, this is standardized to ensure reproducibility and accuracy. However, the series of interactions required from the user may be dependent on the needs of the user, the image being processed or even on the preferences of the user. The invention provides an apparatus which can deal with complex image processing requirements, providing both a standardized series of steps, or trail, in the image visualization process, and allowing the user to deviate from this standard trail if required. This accelerates and simplifies the interaction necessary when the user performs a known task on a different image. It also provides valuable assistance when the user performs an unfamiliar task, thereby avoiding mistakes, such as incorrect radiation levels during image acquisition, which can have serious consequences in a medical imaging environment.04-19-2012
20120095952COLLAPSED GIBBS SAMPLER FOR SPARSE TOPIC MODELS AND DISCRETE MATRIX FACTORIZATION - In an inference system for organizing a corpus of objects, feature representations are generated comprising distributions over a set of features corresponding to the objects. A topic model defining a set of topics is inferred by performing latent Dirichlet allocation (LDA) with an Indian Buffet Process (IBP) compound Dirichlet prior probability distribution. The inference is performed using a collapsed Gibbs sampling algorithm by iteratively sampling (1) topic allocation variables of the LDA and (2) binary activation variables of the IBP compound Dirichlet prior In some embodiments the inference is configured such that each inferred topic model is a clean topic model with topics defined as distributions over sub-sets of the set of features selected by the prior. In some embodiments the inference is configured such that the inferred topic model associates a focused sub-set of the set of topics to each object of the training corpus.04-19-2012
20120330884DECIDING AN OPTIMAL ACTION IN CONSIDERATION OF RISK - A method and system for deciding an optimal action in consideration of risk. The method includes the steps of: generating sequentially, by way of a Markov decision process based on a Monte Carlo method, a series of data having states on a memory of a computer; computing a risk measure of a present data by tracking generated data from opposite order to generation order, where the risk measure is calculated from a value at risk or an exceedance probability that is derived from risk measures of a plurality of states transitionable from a state of the present data; and executing the step of computing the risk measure while tracking back to starting data, where at least one of the steps is carried out using a computer device.12-27-2012
20120330879REFLECTING THE QUANTITATIVE IMPACT OF ORDINAL INDICATORS - Embodiments of the invention may help improve the accuracy of individually tailored prognoses in dealing with individual patient prognoses for cancer, diabetes, multiple sclerosis, heart disease, and/or other diseases. Alternate embodiments of the invention may be useful in improving the accuracy of predictions in a variety of other contexts and fields. A method according to various embodiments of the invention includes generating a univariate impact reflecting index (UIRI) based on an indicator, the indicator having a monotonic relationship to a focal conclusion; and determining a probability that the focal conclusion will occur, wherein determining the probability is based at least partially on a regression analysis of the UIRI.12-27-2012
20120330883PARETO SAMPLING USING SIMPLICIAL REFINEMENT BY DERIVATIVE PURSUIT - A method of optimizing a plurality of objectives includes the steps of initializing a set of simplices; selecting a simplex from the set of simplices; computing one or more weights based at least in part on the selected simplex; and generating a point on a tradeoff surface by utilizing the one or more weights in a weighted-sum optimization.12-27-2012
20120330882FACT CHECKING USING AND AIDING PROBABILISTIC QUESTION ANSWERING - A system and a computer program product for verifying a statement are provided. The system is configured to receive a statement. The system is configured to decompose the received statement into one or more sets of question and answer pairs. The system is configured to determine a confidence value of each answer in the one or more question and answer pair sets. The system is configured to combine the determined confidence values. The combined confidence values represent a probability that the received statement is evaluated as true.12-27-2012
20120330881Evaluation of Next Actions by Customers - System, including method, apparatus, and computer-readable storage media, for evaluating probabilities of next actions by customers to permit selective customer targeting. Customer data (12-27-2012
20120330880SYNTHETIC DATA GENERATION - The claimed subject matter provides a method for data generation. The method includes identifying a generative probability distribution based on one or more cardinality constraints for populating a database table. The method also includes selecting one or more values for a corresponding one or more attributes in the database table based on the generative probability distribution and the cardinality constraints. Additionally, the method includes generating a tuple for the database table. The tuple comprises the one or more values.12-27-2012
20120101974Predicting Outcomes of a Content Driven Process Instance Execution - A method for predictive analytics in a semi-structured process including receiving traces of the semi-structured process, at least one of the traces including a document content value, determining a process model from the traces, the process model comprising tasks at nodes of the semi-structured process and embodies all possible execution sequences in the process, determining a probabilistic graph including a probability at each of the tasks of the semi-structured process advancing from one task to another task, and combining the process model and probabilistic graph to determine a probabilistic process model including probabilities and strengths of transitions between tasks.04-26-2012
20100198771METHOD FOR COMPUTING THE RELATIVE LIKELIHOOD OF FAILURES - A method for determining relative likelihood of a failure mode is provided. The method comprises receiving evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes, generating a fault condition including states of all failure modes that are connected to the monitors, and computing a relative probability of failure for each failure mode. The fault condition is generated for a reference model of the monitored system and is based on the received evidence observations. The relative probability of failure for each failure mode is based on a false alarm probability, a detection probability, and a ratio of prior probabilities of a candidate hypothesis to a null hypothesis of no active failure mode.08-05-2010
20100198770IDENTIFYING PREVIOUSLY ANNOTATED WEB PAGE INFORMATION - Embodiments of methods, apparatuses, or systems relating to identifying previously annotated web page information are disclosed.08-05-2010
20130013550Inception of Live Events - Common interests of at least two different groups of users are captured and analyzed to create a proposal for an event that would satisfy the interests of each group of users. One group of users may be consumers of content, another group of users may be providers of content and a further group of users may, for example, be venue providers. Once an event is proposed, ownership of the event may be prompted for.01-10-2013
20130013551PROCESS ANALYSIS - An apparatus and method are disclosed for analysing a process. An exemplary method includes: generating a process template; and determining a probabilistic model specifying the process template. The method can include use of task nodes for tasks of the process; observables nodes for observables that may be caused by performance of the tasks; and a background activities node, wherein observables may further be caused by background activities of the background node. The method can include use of task nodes for tasks of the process; observables nodes for observables that may be caused by performance of the tasks; and a background activities node, observables may further be caused by background activities of the background node. The method can include measuring values of an observable corresponding to one of the observables nodes; and updating a probabilistic estimate of the process state using the measured values.01-10-2013
20100131448Hypothesis based solicitation of data indicating at least one objective occurrence - A computationally implemented method includes, but is not limited to: soliciting, based at least in part on a hypothesis that links one or more objective occurrences with one or more subjective user states and in response at least in part to an incidence of at least one subjective user state associated with a user, at least a portion of objective occurrence data including data indicating incidence of at least one objective occurrence; and acquiring the objective occurrence data including the data indicating incidence of at least one objective occurrence. 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
20130018838System and Method for Social Influence Credentialing within a Sentiment Sharing Community - The present invention provides a structured sentiment expression and management system and method. The present invention can receive sentiment content from at least two contributing users, wherein the received content is structured according to a specific human emotion, gesture or feeling and a level of intensity of the specific human emotion, gesture or feeling. The present invention further displays the received content in a pre-defined and use-selected sentiment category related to the specific human emotion, gesture or feeling. In one embodiment, the present invention can calculate a series of statistical measurements associated with the user-structured sentiment content, apply each measurement of the series of measurements to a respective scale to obtain a scaled score for each measurement and determine a social influence score based upon the scaled scores.01-17-2013
20130018837EMOTION RECOGNITION APPARATUS AND METHODAANM Lee; Ho-SubAACI SeoulAACO KRAAGP Lee; Ho-Sub Seoul KR - An emotion recognition apparatus and method are provided. The emotion recognition apparatus acquires a first emotion factor and a second emotion factor of an emotion model. An emotional state of a user is estimated based on the first emotion factor and the second emotion factor. The emotion recognition apparatus may also acquire a third emotion factor of the emotion model.01-17-2013
20110161279MATCHING NETWORK SYSTEM FOR MOBILE DEVICES - A matching network system including communication devices, servers and software which enables the provisioning of services and execution of transactions based on a plurality of private and public personality profiles and behavior models of the users, of the communication devices, of the products/services and of the servers; in combination with the software resident at the communication device level and or the local/network server level. Matching and searching processes based on a plurality of personality profiles wherein the information, communication and transactions are enabled to be matched with the user, the communication device and or the servers. The communication device is a stationary device or a mobile device, such as a portable computing device, wireless telephone, cellular telephone, personal digital assistant, or a multifunction communication, computing and control device.06-30-2011
20110161277SIGNAL ANALYSER - The present invention provides a signal analyser (06-30-2011
20130024414System of Sequential Kernel Regression Modeling for Forecasting and Prognostics - A monitoring system for determining the future operational condition of an object includes an empirical model to receive reference data that indicates the normal operational state of the object and input pattern arrays. Each input pattern array has a plurality of input vectors, while each input vector represents a time point and has input values representing a plurality of parameters indicating the current condition of the object. The model generates estimate values based on a calculation that uses an input pattern array and the reference data to determine a similarity measure between the input values and reference data. The estimate values, in the form of an estimate matrix, include at least one estimate vector of inferred estimate values, and represents at least one time point that is not represented by the input vectors. The inferred estimate values are used to determine a future condition of the object.01-24-2013
20130024416Method of Sequential Kernel Regression Modeling For Forecasting and Prognostics - A method for determining the future operational condition of an object includes obtaining reference data that indicates the normal operational state of the object, and obtaining input pattern arrays. Each input pattern array has a plurality of input vectors, while each input vector represents a time point and has input values representing a plurality of parameters indicating the current condition of the object. At least one processor generates estimate values based on a calculation that uses an input pattern array and the reference data to determine a similarity measure between the input values and reference data. The estimate values, in the form of an estimate matrix, include at least one estimate vector of inferred estimate values, and represents at least one time point that is not represented by the input vectors. The inferred estimate values are used to determine a future condition of the object.01-24-2013
20080235174System and method for searching and matching databases - There is provided a method for searching a database to obtain data. The method includes (a) prioritizing a set of keys that are derived from a match inquiry, thus yielding a prioritized set of keys, wherein the prioritizing is based on, for each key of the set, an efficacy of using the key, (b) determining a subset of the prioritized set, and (c) retrieving, using the subset, a set of candidates for satisfying the match inquiry.09-25-2008
20110246411SEQUENCE DETECTION METHODS, DEVICES, AND SYSTEMS FOR SPECTRUM SENSING IN DYNAMIC SPECTRUM ACCESS NETWORKS - In one embodiment, a cognitive radio dynamic spectrum access sensing system is configured to incorporate a hidden Markov model and a risk function to determine the primary user state sequence with the minimum amount of associated risk. The system comprises one or more weighted cost factors that can be used to handle a missed detection sensing error differently from a false alarm sensing error. The system further comprises a complete forward partial backward computation designed to increase sensing accuracy with limited effect on sensing delay and complexity.10-06-2011
20110246410INFORMATION PROCESSING APPARATUS, CONTROL METHOD THEREFOR, AND COMPUTER-READABLE STORAGE MEDIUM - An information processing apparatus includes a display control unit adapted to, with respect to each of a plurality of predetermined attributes, display on a display unit, for each of a plurality of inference conditions, inference results obtained by inferring a probability that input data belongs to the attribute under the inference condition; and a receiving unit adapted to receive selection of one of a plurality of parameters for specifying an inference condition from a user, wherein the display control unit highlights, with respect to each of the plurality of inference conditions, the inference results according to values of the selected parameter of the inference condition.10-06-2011
20110246409DATA SET DIMENSIONALITY REDUCTION PROCESSES AND MACHINES - Provided in part herein are processes and machines that can be used to reduce a large amount of information into meaningful data and reduce the dimensionality of a data set. Such processes and machines can, for example, reduce dimensionality by eliminating redundant data, irrelevant data or noisy data. Processes and machines described herein are applicable to data in biotechnology and other fields.10-06-2011
20130173525METHODS AND APPARATUS TO CONSTRUCT HISTOGRAMS AND WAVELET SYNOPSES FOR PROBABILISTIC DATA - A disclosed example method involves generating a plurality of wavelet coefficient quantities. Each wavelet coefficient quantity is generated based on items represented by probabilistic data. Each wavelet coefficient quantity represents different ones of the items by multiplying corresponding wavelet vectors. The example method also involves determining an error measure associated with each of the plurality of wavelet coefficient quantities, and selecting at least one of the plurality of wavelet coefficient quantities based on its associated error measure. The method also involves displaying parameter information associated with the one of the plurality of wavelet coefficient quantities to represent the probabilistic data.07-04-2013
20120254099INTEGRATED INTEREST AND EXPERTISE-BASED DISCOVERY SYSTEM AND METHOD - An integrated interest and expertise-based discovery system and method infers interest and expertise levels of users and generates recommendations for delivery to the users in accordance with the inferred interest and expertise levels. The inferences of expertise may be relative to other users and may be combined with expertise calibration information in generating expected expertise levels for users with respect to one or more topics. The generation of recommendations may be informed by the degree of inferred interest in topical areas, by the comparison of expertise levels among users, and by information regarding the user expertise levels that are appropriate with respect to specific items of content. Explanations may be provided to recommendation recipients as to why they received recommendations.10-04-2012
20120254095Expertise Discovery Methods and Systems - A computer-implemented expertise discovery method and system generates recommendations of people in accordance with inferences of levels of expertise from behavioral information. The generation of the recommendations may be in accordance with comparisons of two or more expertise vectors and associated correlations between the vectors. The inferences of expertise may be with respect to specified topical neighborhoods. Explanations as to why recommendations were made are delivered to the recommendation recipients, and may include references to the inferred levels of expertise, the behavioral bases for the inferences, and/or the confidence in the inferences.10-04-2012
20120254094Contextual Scope-Based Discovery Systems - A computer-implemented discovery system applies a contextual neighborhood scope with respect to a fuzzy network-based structure, and generates recommendations in accordance with the resulting contextual neighborhood and inferences from behavioral information. The contextual neighborhood scope may be established by a user, and the basis for the contextual neighborhood may be in accordance with an object that is accessed by a user. The inferences may be embodied in affinity vectors, and may include inferences of user preferences and levels of expertise.10-04-2012
20120254093Detection of Network Links in a Communications Network - A method or system for detecting associations between nodes of a communications network. “Node events” are defined as being communications from one node to another, each event having an origination time. For a given node, and for a number of time windows, event originations from other nodes after the occurrence of an event from that node are counted. Then for that node, these counts may be used to determine the probability that any other node is in a time window of that node. The probability data may then be used to determine the likelihood of a communications link with that node. The process may be repeated for a number of nodes to determine links within the network.10-04-2012
20120254092MANAGING OPERATIONS OF A SYSTEM - A computer-implemented method for managing operations of a system includes deriving a nonlinear modeling function from a nonlinear response function, defining an allowed range for output values of the nonlinear modeling function, determining a range of a first set of input values of the nonlinear modeling function based on the allowed range of the output values, deriving a nonlinear probability function from the nonlinear response function, receiving the first set of input values, calculating the output values by processing each input value in the first set of input values through the nonlinear modeling function, determining, using the probability function, a relative probability of performing a first future system operation for each input value of the first set of input values and displaying, for each input value in the first set of input values, the corresponding output value and the corresponding probability.10-04-2012
20090150327CALCULATING WEB PAGE IMPORTANCE BASED ON A CONDITIONAL MARKOV RANDOM WALK - An importance system calculates the importance of pages using a conditional Markov random walk model rather than a conventional Markov random walk model. The importance system calculates the importance of pages factoring in the importance of sites that contain those pages. The importance system may factor in the importance of sites based on the strength of the correlation of the importance of a page to the importance of a site. The strength of the correlation may be based upon the depth of the page within the site. The importance system may iteratively calculate the importance of the pages using “conditional” transition probabilities. During each iteration, the importance system may recalculate the conditional transition probabilities based on the importance of sites that are derived from the recalculated importance of pages during the iteration.06-11-2009
20130097112Determination of Statistical Upper Bound for Estimate of Noise Power Spectral Density - Systems/methods for computing a power spectral density estimate for a noise signal. Where the noise signal appears in two channels (a single channel), n successive data acquisitions from the two channels (the single channel) are used to compute n respective cross (power) spectral densities, which are then averaged. The averaged cross (power) spectral density may then be smoothed in the spectral domain. The magnitude of the smoothed cross (power) spectral density comprises an estimate for the noise power spectral density. An effective number of independent averages may be computed based on the number n, the time-domain window applied to the acquired sample sets, the amount of overlap between successive sample sets, and the shape of the frequency-domain smoothing function. A statistical error bound (or uncertainty measure) may be determined for the power spectral density estimate based on the effective number of averages and the averaged single-channel and cross-channel spectral estimates.04-18-2013
20130097111Vector Smoothing of Complex-Valued Cross Spectra to Estimate Power Spectral Density of a Noise Signal - Systems/methods for computing a power spectral density estimate for a noise signal. Where the noise signal appears in two channels (a single channel), n successive data acquisitions from the two channels (the single channel) are used to compute n respective cross (power) spectral densities, which are then averaged. The averaged cross (power) spectral density may then be smoothed in the spectral domain. The magnitude of the smoothed cross (power) spectral density comprises an estimate for the noise power spectral density. An effective number of independent averages may be computed based on the number n, the time-domain window applied to the acquired sample sets, the amount of overlap between successive sample sets, and the shape of the frequency-domain smoothing function. A statistical error bound (or uncertainty measure) may be determined for the power spectral density estimate based on the effective number of averages and the averaged single-channel and cross-channel spectral estimates.04-18-2013
20130103633SYSTEM AND METHOD FOR DATING GELATIN SILVER PAPER - A system and method for dating gelatin silver photographic paper is provided. The system and method includes providing a database management system having temporal physical characteristic profiles. Each temporal physical characteristic profile consists of a pulp composition percentage characteristic; a fiber composition characteristic; a thickness characteristic; and an optical brightening agent composition. The system implements a program of instructions to determine a, probable date range for each temporal physical characteristic profile and also determines a physical characteristic profile associated with the gelatin silver photograph. Dating the photograph is accomplished by the system determining the closest match between the temporal physical characteristic profile and the physical characteristic profile associated with the gelatin silver photograph.04-25-2013
20130103635RULE CORRELATION TO RULES INPUT ATTRIBUTES ACCORDING TO DISPARATE DISTRIBUTION ANALYSIS - Embodiments of the present invention provide a method, system and computer program product for visualizing rule input attributes with a rule according to disparate rule attribute distributions. In an embodiment of the invention, a method for visualizing rule input attributes with a rule according to disparate rule attribute distributions has been provided. The method includes identifying in response to a selection of a rule for viewing in a rule viewer an input for the selected rule and determining an attribute for the input. However, attributes present in a guard for the selected rule can be excluded. The method also can include computing a global distribution of the attribute irrespective of the identified input and a specific distribution for the identified input. Thereafter, the attribute can be flagged as being correlated with the selected rule when it is determined that a sufficient disparity exists between the global distribution and the specific distribution.04-25-2013
20130103636RULE CORRELATION TO RULES INPUT ATTRIBUTES ACCORDING TO DISPARATE DISTRIBUTION ANALYSIS - Embodiments of the present invention provide a method, system and computer program product for visualizing rule input attributes with a rule according to disparate rule attribute distributions. In an embodiment of the invention, a method for visualizing rule input attributes with a rule according to disparate rule attribute distributions has been provided. The method includes identifying in response to a selection of a rule for viewing in a rule viewer an input for the selected rule and determining an attribute for the input. However, attributes present in a guard for the selected rule can be excluded. The method also can include computing a global distribution of the attribute irrespective of the identified input and a specific distribution for the identified input. The attribute can be flagged as being correlated with the selected rule when it is determined that a sufficient disparity exists between the global distribution and the specific distribution.04-25-2013
20110313968HYPERLOCAL SMOOTHING - Concepts and technologies are described herein for hyperlocal smoothing. The hyperlocal smoothing solutions described herein provide a smooth view of data and events across hyperlocal geographic areas by combining sparse data available with inferred or extrapolated data. Additionally, the hyperlocal smoothing solutions described herein make use of contextual analysis to interpret service requests in a manner appropriate for a targeted hyperlocal area. Thus, the smooth view of data can be queried in a contextually sensitive manner to return relevant information for a hyperlocal geographic area, even in circumstances wherein data relevant to the hyperlocal geographic area is sparse or even non-existent.12-22-2011
20110313967PERSONALITY / POPULARITY ANALYZER - A device receives communication information from a user device associated with a user, calculates an extrovert score for the user based on the communication information, and calculates a popularity score for the user based on the communication information. The device also calculates an interesting communicator score for the user based on the communication information, determines a personality score for the user based on the extrovert score, the popularity score, and the interesting communicator score, and stores the personality score.12-22-2011
20110313966ACTIVITY SCHEMES FOR SUPPORT OF KNOWLEDGE-INTENSIVE TASKS - An activity scheme designer may associate an activity scheme with a task of a process model that includes a plurality of tasks, the activity scheme including a directed graph of nodes in which the nodes represent knowledge actions to be performed at least partially by human users, and in which edges of the directed graph connecting the nodes are probabilistically weighted. A workflow engine may instantiate the process model for execution, including associating an instance of the task with a user of the human users, the task instance including instance-specific data associated with completing the execution. An activity scheme transformer may transform the activity scheme for the user, based on the instance-specific data, a context of the user including applications and information resources available to the user, and a personal profile of the user.12-22-2011
20110313965FRAMEWORK AND SYSTEM FOR IDENTIFYING PARTNERS IN NEFARIOUS ACTIVITIES - The invention is a method and a system for discovering collusion among a network of interacting entities. Collusion is defined as a conspiracy among two or more interacting entities to use deception or an unfair advantage for private gain above their peers or other stakeholders in their network. The invention comprises a mathematical framework for measuring the collusion propensity of two or more entities in a network.12-22-2011
20130124450ADAPTIVE BUSINESS PROCESS AUTOMATION - A method, system and computer software product are provided for process automation. The method includes monitoring one or more workstations to obtain multiple sets of character and graphical information including user actions, times and durations associated with the user actions, user-entered data, and retrieved character and graphical screen data. The method further includes identifying functional events from the sets, defining focal states as respective historic patterns of the functional events, and generating a set of facilitating scripts associated with respective ones of the focal states. The facilitating scripts each provide one or more automatic actions in the workstations. At least a portion of the set of facilitating scripts are then executed.05-16-2013
20130124448METHOD AND SYSTEM FOR SELECTING A TARGET WITH RESPECT TO A BEHAVIOR IN A POPULATION OF COMMUNICATING ENTITIES - The method uses predictive analysis to determine a model based on past data including a first social network built between communicating entities for a first observation period and behavioral centrality measures derived from behavioral data observed in a following time period. The model thus determined is then applied to a second social network built for a second observation period more recent than the first one. This provides predicted behavioral centrality measures for a future period, which can be used to perform an efficient selection of entities in the target, which may maximize virality with respect to the specific behavior of interest.05-16-2013
20130124447COGNITIVE RELEVANCE TARGETING IN A SOCIAL NETWORKING SYSTEM USING CONCEPTS INFERRED FROM EXPLICIT INFORMATION - A social networking system infers a user's present interests based on the user's recent actions and/or the recent actions of the user's connections in the social networking system. The social networking system also determines a set of concepts associated with each of a set of information items, such as advertisements. By matching the user's present interests with the concepts associated with the information items, the social networking system selects one or more of the information items that are likely to be of present interest to the user. At least one of the matched interests and concepts are not identical. The social networking system then presents the selected information items for display to the user, thereby providing information based on an inferred temporal relevance of that information to the user.05-16-2013
20130132331PERFORMANCE EVALUATION OF A CLASSIFIER - A computer-implemented method for evaluating performance of a classifier, the method comprising: (a) comparing labels determined by the classifier with corresponding known labels; and (b) based on the comparison, estimating a probability of observing an equal or better precision at a given recall with random ordering of the labels determined by the classifier. This disclosure also concerns a computer program and a computer system for evaluating performance of a classifier.05-23-2013
20130132330MANAGEMENT OF PRIVACY SETTINGS FOR A USER DEVICE - A system and methods of managing privacy settings of a user are presented here. The system obtains context information that is indicative of a contextual scenario associated with operation of a user device and determines, with a first analytics system, a first set of privacy settings predictions that is influenced at least in part by the context information. A second analytics system is used to determine a second set of privacy settings predictions that is influenced at least in part by the context information. When the first set of privacy settings predictions differ from the second set of privacy settings predictions by at least a threshold amount, the system issues a query for user-specified privacy settings for the contextual scenario.05-23-2013
20130132329METHOD AND APPARATUS FOR PORTABLE ELECTRONIC DEVICE MEDIA DATA STORAGE - A method and apparatus store media data on a portable electronic device. The method can include monitoring media data storage activity regarding user media data storage activity usage patterns that store media data in a memory in a portable electronic device. The method can include storing the media data storage activity data in the portable electronic device. The method can include triggering a full memory prediction algorithm based on a user action event that affects media data storage in the memory and can include running the full memory prediction algorithm in response to the trigger. The full memory prediction algorithm can predict when the memory will be substantially full based on past user media data storage behavior according to the media data storage activity data. The method can include outputting a potential upcoming full memory indication.05-23-2013
20130132328Survey Feasibility Estimator - The disclosure is directed to systems and methods for estimating the completion time of a web-based survey. The estimated completion time can be determined based on survey parameters associated with the web-based survey. The survey parameters can be based on characteristic values of the web-based survey associated with the survey parameters. The characteristic values of survey parameters can be used to estimate parameter completion times, from which an estimated survey completion time for the web-based survey may be determined. The disclosed systems and methods further permit assessments of survey feasibility.05-23-2013
20100280985METHOD AND SYSTEM TO PREDICT THE LIKELIHOOD OF TOPICS - The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over other dimensions of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.11-04-2010
20100280984METHOD FOR ANALYZING A MULTIMEDIA CONTENT, CORRESPONDING COMPUTER PROGRAM PRODUCT AND ANALYSIS DEVICE - A method is provided for analyzing a piece of multimedia content including a time series of elementary entities, in order to check whether or not the piece of multimedia content includes at least one piece of reference content referenced in a content base. The method includes, for at least one elementary entity of the multimedia content and selected according to a predetermined selection rule, or current elementary entity: allocating a plausibility probability to each elementary entity of a set of current candidate elementary entities; allocating a transition probability between the current candidate elementary entity or entities and at least one previous candidate elementary entity; allocating an identification probability of at least one scenario including a time series of candidate elementary entities; deciding the recognition of one of the reference content and/or carrying on the analysis using a subsequent elementary entity of the piece of multimedia content.11-04-2010
20100287133Identification Device, Identification Method, and Identification Processing Program - There are provided an identification device, an identification method and an identification processing program, which are capable of significantly reducing a processing burden. An identification device 11-11-2010
20100287132SYSTEM, METHOD AND COMPUTER READABLE MEDIUM FOR RECORDING AUTHORING EVENTS WITH WEB PAGE CONTENT - A web page that includes content form fields may be modified to include an event observer module and an authored content module. The authored content module adds a hidden “events observed” field to the form fields. Events generated during the authoring of content by a user are recorded by the event observer module. When the content is submitted from a client browser to the web server, the events generated during the authoring of the content are added to the events observed field and submitted with the content. The web server uses the events to determine a DOM of the web page and compare the observed DOM with a stored DOM for that web page and that particular interaction. The page structure may be optionally modified by the web server to enhance the analysis of the DOM comparison. The web server analysis facilitates detection of non-human content submission at a client browser.11-11-2010
20130151460Particle Methods for Nonlinear Control - Aspects herein describe new methods of determining optimal actions to achieve high-level goals with minimum total future cost. At least one high-level goal is inputted into a user device along with various observational data about the world, and a computational unit determines, through particle methods, an optimal course of action as well as emotions. The particle method comprises alternating backward and forward sweeps and tests for convergence to determine said optimal course of action. In one embodiment a user inputs a high-level goal into a cell phone which senses observational data. The cell phone communicates with a server that provides instructions. The server determines an optimal course of action via the particle method, and the cell phone then displays the instructions and emotions to the user.06-13-2013
20130151461IDENTIFICATION OF POWER SYSTEM EVENTS USING FUZZY LOGIC - A method for analyzing an electrical power system using fuzzy logic includes: (a) acquiring data representing a signal of interest of the power system; (b) analyzing the signal using at least one fuzzy logic rule; and (c) based on the analysis, detecting and classifying at least one power system event within the power system.06-13-2013
20100293131Method for Adaptively Modifying the Observed Collective Behavior of Individual Sensor Nodes Based on Broadcasting of Parameters - A method for continually controlling the collective behavior of a set of computing devices in a distributed data processing system. A gateway node disseminates a specification request comprising a set of parameters to a set of computing devices. The gateway node may be unaware of the number and identity of individual computing devices. Each computing node receiving the request determines whether its attributes satisfy the predicates expressed in the specification request. If so, the node processes the parameters in the specification request and modifies its own behavior based on the values in the parameters of the specification request. Subsequently, the gateway node may also observe the quality of information (QoI) values communicated from the set of computing devices. The gateway node iteratively modifies the parameters disseminated in subsequent specification requests based on a divergence between a computed quality of information value and a desired quality of information value.11-18-2010
20100312743KIND CLASSIFICATION THROUGH EMERGENT SEMANTIC ANALYSIS - A goal of computer development is to understand the user and the data with which the user is engaged. If a better understanding of the user and their data can be accomplished, then additional information and features may be provided based upon the user's intent and interests. Accordingly, as provided herein, Kinds may be created as digital representations of everyday things. Kind classifications may be created to characterize the Kinds. The Kind classifications may be updated based upon user interaction to further characterize Kinds with which the user has interacted. For example, when a user writes an email about using orange peels as an air freshener, an orange Kind classification may be updated to reflect that an orange may be used as an air freshener. Kind feature vectors and user feature vectors may be created to represent the probabilities that the Kind or user relates to particular characteristics.12-09-2010
20130138599FEEDBACK DURING SURGICAL EVENTS - Technology is disclosed for communicating surgical information. The technology can receive data from one or more sensors coupled to one or more tools in operation by a user, generate a virtual model of a four-dimensional virtual real-time space, receive motion history data for the user's previous movements, generate a prediction of movement of the first tool in each of the four dimensions in relation to the first vital entity and a prediction score, and output an indication of the prediction score.05-30-2013
20130138598Classifying Attribute Data Intervals - The present techniques extract attribute data of one or more classified members for one or more user attributes. With respect to a particular user attribute of the one or more user attributes, the present techniques determine initial attribute data intervals corresponding to the particular user attribute based on attribute data and classes of the classified members from the extracted attribute data. With respect to a classified member whose attribute data is missing for the particular user attribute, the present techniques set the attribute data as a preset missing value. The present techniques then merge the preset missing value into each of the initial user attribute data intervals and calculate a Maximum Posteriori Probability (MAP) Bayes estimate value respectively, and determine initial user attribute data intervals with a smallest MAP Bayes estimated value as final attribute data intervals corresponding to the particular user attribute.05-30-2013
20100318491METHOD AND APPARATUS FOR SUGGESTING A USER ACTIVITY - In accordance with an example embodiment of the present invention, an apparatus comprises at least one processor and at least one memory. The at least one memory includes computer program code. Further, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following obtain first activity data from a user; receive second activity data from one or more groups; compare first and second activity data; indicate difference between the first and second activity data; and suggest at least one activity to a user based at least in part on the indicated difference between first and second activity data.12-16-2010
20100318490SPLIT VARIATIONAL INFERENCE - A method comprises: partitioning a region of interest into a plurality of soft bin regions that span the region of interest; estimating an integral over each soft bin region of a function defined over the region of interest; and outputting a value equal to or derived from the sum of the estimated integrals over the soft bin regions spanning the region of interest. The method may further comprise: integrating a Bayesian theorem function using the partitioning, estimating, and outputting operations, and classifying an object to be classified using a classifier trained using the Bayesian machine learning. The method may further comprise performing optimal control by iteratively minimizing a controlled system cost function to determine optimized control inputs using the partitioning, estimating, and outputting with the function equal to the controlled system cost function having the selected control inputs, and controlling the controlled system using the optimized control inputs.12-16-2010
20130159241TEMPLATE 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.06-20-2013
20130185246APPLICATION QUALITY TESTING TIME PREDICTIONS - Techniques for application quality testing time predictions are described that provide customized processing time predictions for application testing. Testing times for various stages of testing are collected during application testing. The collected testing data may be stored in association with various attribute values ascertained for the applications. The collected timing data is used to predict processing times for applications that match defined profiles. The profiles may be defined to include selected attributes and values used to identify applications having corresponding attributes and values. The collected timing data may be processed to derive predictions for processing times on a profile-by-profile basis. When a new application is submitted, the application is matched to a particular profile based on attribute values possessed by the application. Then, processing time predictions associated with the matching profile may be obtained, assigned to the application, and output for presentation to a developer of the application.07-18-2013
20130185245SOCIAL NETWORK ANALYSIS FOR CHURN PREDICTION - Traditional methods of prediction of the likelihood of churning in a given market such as wireless telecommunications are improved by inclusion of social network analysis to predict churning by members of a population in response to churning by any given individual member of that population. A sphere of influence of individual members of the population on other members of the population are modeled and analyzed through a plurality of degrees of separation and quantitatively evaluated by a number of relational algebraic joins in which at least one such join includes weights to assert a diminishing influence with number of degrees of separation.07-18-2013
20130124449RECOMMENDATIONS IN A COMPUTING ADVICE FACILITY - According to various embodiments, a ratings matrix including matrix values is generated, each row of the ratings matrix identifying one of a plurality of users, each column of the ratings matrix identifying one of a plurality of items, and each of the matrix values corresponding to a known affinity rating describing a degree of affinity associated with one of the users and one of the items. The ratings matrix may include a missing entry representing an unknown affinity rating. According to various embodiments, a revised ratings matrix is generated by factoring the ratings matrix into a user matrix and an item matrix, the revised ratings matrix being the product of the user matrix and the item matrix and including at least one entry representing a predicted affinity rating in place of the missing entry.05-16-2013
20110289043COMPUTATIONAL METHODS AND COMPOSITIONS - The invention in some aspects relates to methods, devices and compositions for evaluating material properties, such as mechanical and rheological properties of substances, particularly biological substances, such as cells, tissues, and biological fluids. In some aspects, the invention relates to methods, devices and compositions for evaluating material properties of deformable objects, such as cells. In further aspects, the invention relates to methods, devices and compositions for diagnosing and/or characterizing disease based on material properties of biological cells.11-24-2011
20130191319SYSTEM AND METHODS FOR USING PRESENCE DATA TO ESTIMATE AFFECT AND COMMUNICATION PREFERENCE FOR USE IN A PRESENCE SYSTEM - Exemplary embodiments described herein are directed to systems and methods that estimate a user's affect and communication preferences from presence data. The exemplary embodiments use a small set of features derived from a user's recent high level presence states. Exemplary embodiments also use features from broader classes of presence data. Utilizing features from a combination of presence data and recent presence states may provide improvement over estimates that users are able to make themselves. The exemplary embodiments further consider cost, burden on the user, and privacy issues in estimating affect and communication preferences.07-25-2013
20130191320METRIC TO ASSESS THE SYSTEM RELIABILITY IMPACT OF DISTRIBUTION AUTOMATION FAILURES - A method for assessing the survivability of a distributed automation power grid in response to a failure. The method including: generating a failure in a section of a grid; identifying the location of the section and isolating the section; aggregating sections of the grid downstream from the failed section into a first group and sections of the grid upstream from the failed section into a second group; computing, using a Markov chain, a first parameter indicating whether a communication network of the grid is operational after the failure; computing, using a Markov chain, a second parameter indicating whether enough backup energy exists for the second group after the failure; and computing, using a Markov chain, a third parameter based on the first and second parameters, wherein the third parameter is indicative of the time required for the grid to be restored to its operating state prior to the failure.07-25-2013
20120030163SOLUTION 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.02-02-2012
20120030162Method for quantifying amplitude of a response of a biological network - One or more measurement signatures are derived from a knowledge base of casual biological facts, where a signature is a collection of measured node entities and their expected directions of change with respect to a reference node. The knowledge base may be a directed network of experimentally-observed casual relationships among biological entities and processes, and a reference node represents a perturbation. A degree of activation of a signature is then assessed by scoring one or more “differential” data sets against the signature to compute an amplitude score. The amplitude score quantifies fold-changes of measurements in the signature. In one particular embodiment, the amplitude score is a weighted average of adjusted log-fold changes of measured node entities in the signature, wherein an adjustment applied to the log-fold changes is based on their expected direction of change. In an alternative embodiment, the amplitude score is based on quantity effects.02-02-2012
20130103634RECOMMENDATION SYSTEM - A recommendation system is disclosed that in one aspect offers item recommendations to users based on one or more items known to be liked by the users. An item may be recommended to a user if a similarity indicator for the item, established by determining how much more likely than expected the user will like the item based on the user liking another item, exceeds a predetermined threshold. Multiple items may be recommended to a user based on relative similarity indicators.04-25-2013
20130204833PERSONALIZED RECOMMENDATION OF USER COMMENTS - Techniques are described herein for facilitating the consumption of user-generated comments by determining which comments will be of most interest to each individual user. Once the comments that will be of most interest to a particular user are determined, the user-generated comments are presented to that user in a manner that reflects that user's predicted interest. A variety of factors may be used to predict, automatically, the interest each individual user would have in each user-generated comment. For example, interest predictions for a user may be based on the user's prior rating of comments, various types of profile and/or demographic information about the user, the user's social network connections, the authors of the comments, the author of the target subject matter, the user's propensity to comment, etc.08-08-2013
20130204834Decision Tree Creation and Execution in an Interactive Voice Response System - Decision trees may be created and executed to manage calls in an interactive voice response (IVR) system. Users may be provided with one or more user interfaces to design, create, and modify decision trees. User may add and edit the rules, logic, and instructions of the decision tree, as well as additional information such as labels, headers, comments, and formatting. One or more decision tree files may be created including the rules, logic, and instructions of the decision tree, which are compatible with an execution engine. One or more decision tree development files also may be created including additional information to be used by a decision tree development application to provide the development environment.08-08-2013
20130204835METHOD OF EXTRACTING NAMED ENTITY - Presented is a method of extracting named entities from a large-scale document corpus. The method includes identifying named entities in the corpus and forming a set of seed entities manually or automatically using some existing resources, constructing a named entity graph to discover same-type probability between any given pair of named entities, expanding the set of seed entities and performing a confidence propagation of the seed entities on the named entity graph.08-08-2013
20130212059Social Analytics - A computer-implemented method, comprises extracting a measure from a content article representing a probability that the article relates to a topic, allocating the article to a group of articles relating to at least one topic on the basis of the measure, using a set of social media objects relating to the article to extract a measure representing a sentiment for the article, and aggregating respective measures for the sentiment of articles in the group to provide an aggregate measure.08-15-2013

Patent applications in class Reasoning under uncertainty (e.g., fuzzy logic)