Abstract: Different virtual labels, for example, like +1 and ?1, are assigned to two data sets. A change analysis problem for the two data sets is reduced to a supervised learning problem by using the virtual labels. Specifically, a classifier such as logical regression, decision tree and SVM is prepared and is trained by use of a data set obtained by merging the two data sets assigned the virtual labels. A feature selection function of the resultant classifier is used to rank and output both every attribute contributing to classification and its contribution rate.

Abstract: 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.

Abstract: 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, wherein the fuzzy logic rules include: (1) phase level rules which are based on features extracted from a particular phase on the electric power system; (2) segment level rules which are evaluated using information from different phases; and (3) capture level rules which combine truth values obtained from one or more segments; and (c) based on the analysis, detecting and classifying at least one power system event within the power system.

Abstract: A classification system is described for resilient classification of data. In various embodiments, the classification system divides a full set of the training data into a positive subset and a negative subset. The positive subset contains all training data with a positive classification value and the negative subset contains all training data with a negative classification value. The classification system constructs several subsets of the training data wherein each subset contains data randomly selected from both the positive subset and the negative subset. The classification system then creates at least two classifiers based on each of the randomly created subsets of the training data.

Abstract: 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.

Abstract: A process, machine, manufacture, or composition of matter, and improvements, illustratively as method of using a machine, the method including: storing data of a population in memory; computing, by a computer accessing the data stored in the memory, a probability of at least one future medical treatment needed by at least one individual having data in the data of a population; ascribing, by the computer applying the computed probabilities, each said individual with one of a plurality of risk stratifications for each said future medical treatment; and producing, by the computer communicating to an output device, output including at least one said ascribed individual in association with the one of the risk stratifications. The method can also include forming, by the computer accessing the data stored in the memory, an association of travel by an individual and a health consequence as a result of the travel by the individual; and generating, at the output device, output including the association.

Abstract: A method includes 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. Reconstructing the quantum state is performed in accordance with the following expression: ? = ( 2 d ? ? i = 1 d 2 - 1 ? ? p i ? P i + ( 1 - p i ) ? ( 1 - P i ) ) - ( d 2 - 2 d ) ? I d , where d is the dimension of the quantum mechanical system, ? is the state of the quantum mechanical system, Id denotes the identity operator, Pi is one of the plurality of measurement projectors, and pi is the probability for the measurement projector Pi.

Abstract: A method and system for use in describing a phenomenon of interest. The method and system computes a decision rule for use in describing the phenomenon of interest using training data relating to the phenomenon of interest, labels for labeling the training data, and hidden information about the training data or directed distances obtained from the hidden information, as inputs.

Abstract: Some embodiments of a sequential mode in a Rete rule engine have been presented. In one embodiment, a Rete rule engine is configured to enter into a sequential mode. Using the Rete rule engine configured, a rule set having a set of rules is evaluated against a set of data objects in a stateless manner.

Abstract: A hierarchy of computing modules is configured to learn a cause of input data sensed over space and time, and is further configured to determine a cause of novel sensed input data dependent on the learned cause. At least one of the computing modules has a sequence learner module configured to associate sequences of input data received by the computing module to a set of causes previously learned in the hierarchy.

Abstract: 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.

Abstract: 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.

Abstract: An embodiment of a method for providing technical support service includes generating a plurality of problem resolutions that are determined to resolve an identified technical problem; attributing weights to each of said plurality of problem resolutions according to frequency of use; and in response to a request to resolve said identified problem, selecting a problem resolution from among said plurality of problem resolutions based at least in part on said attributed weights.

Abstract: A context inference system including a mobile device and at least one information sending unit is provided. The mobile device includes an information receiving unit and a context operation platform. The information receiving unit receives a context information. The context operation platform includes an information collection module for collecting the information used for inferring a context based on a convergent search and an expanded search, a data classification and storage module for storing and classifying a user preference information of a user, and an inference module for inferring a context. The information sending unit transmits the context information to the mobile device. The context operation platform performs a context inference process according to the context information and the user preference information in order to forecast the user's need and provide a recommendation information to the user.

Abstract: 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 color-coded 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.

Abstract: 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.

Abstract: An information processing method for a business process analysis includes identifying a processing target field in a record generated in an analysis target system and stored in a data storage; identifying data representing probability that the processing target field corresponds to a time stamp of an event by using definition data for each field in the record; and presenting a user with the identified data so as to correspond to each said field.

Abstract: Avatars, methods, apparatuses, computer program products, devices and systems are described that carry out identifying a member of a population cohort; and indicating at least one behavior in the member of the population cohort based on an association between the population cohort and at least one cohort-linked avatar.

Abstract: An online sparse matrix Gaussian process (OSMGP) uses online updates to provide an accurate and efficient regression for applications such as pose estimation and object tracking. A regression calculation module calculates a regression on a sequence of input images to generate output predictions based on a learned regression model. The regression model is efficiently updated by representing a covariance matrix of the regression model using a sparse matrix factor (e.g., a Cholesky factor). The sparse matrix factor is maintained and updated in real-time based on the output predictions. Hyperparameter optimization, variable reordering, and matrix downdating techniques can also be applied to further improve the accuracy and/or efficiency of the regression process.

Abstract: A neural network includes neurons and wires adapted for connecting the neurons. Some of the wires comprise input connections and exactly one output connection and/or a part of the wires comprise exactly one input connection and output connections. Neurons are hierarchically arranged in groups. A lower group of neurons recognizes a pattern of information input to the neurons of this lower group. A higher group of neurons recognizes higher level patterns. A strength value is associated with a connection between different neurons. The strength value of a particular connection is indicative of a likelihood that information which is input to the neurons propagates via the particular connection. The strength value of each connection is modifiable based on an amount of traffic of information which is input to the neurons and which propagates via the particular connection and/or is modifiable based on a strength modification impulse.