Abstract: A hybrid recommender system, in which the initial stereotype is manually defined by an expert and an affinity vector of stereotypes relating to each specific user who registers onto the system, is created to define a specific profile for each user. Recommendations for a specific user are generated according to the initial stereotype and the affinity vector of stereotypes. A binary feedback, from user regarding specific items picked by him is received (e.g., while of the item), which can be either positive or negative. Then the affinity vector of stereotypes is updated.

Abstract: An apparatus and method to check whether a user likes a multimedia file based on the user's emotional reaction index of the multimedia file and repeatedly reproducing the multimedia file if the user likes the multimedia file. The multimedia file reproducing apparatus can include an emotional reaction index calculation unit to calculate an emotional reaction index based on a physical reaction signal of a user; a like/dislike checking unit to check whether the user likes or dislikes a corresponding audio file based on the calculated emotional reaction index; a list generation unit to generate a list of audio files that the user likes based on an average of emotional reaction indices for each audio file and the user's preference for each audio file; and a reproduction management unit to control the reproduction of the corresponding audio file based on whether the user likes or dislikes the corresponding audio file and to reproduce the audio files in the generated list.

Abstract: Cross over (S560) in a genetic algorithm (128) is adapted for deriving an optimal mask (S540), or set of segments of a line. Each mask of a chromosome is subject to cross over with the respective mask of the other parent. Any overlapping part, whether a filtering (320) or pass-through part (350), is retained in the child (334) to preserve commonality. The part is preferably, potentially extended, according to one parent or the other, as decided pseudo-randomly (430). In a preferred application, spectrums of candidate blood constituents are masked for fitting to ensemble spectrums of test blood samples (S610, S620). The developed masks are applicable to constituent spectrums to create masked spectrums (S710) which are then applicable to an actual blood sample to be analyzed (S720).

Abstract: A system and method that facilitates and effectuates making an inference related to objects of interest within a context. A web projection component can generate sub graphs by projecting objects of interest onto a web graph representing a superset or partially overlapping set of objects to the objects of interest. An inference component can provide inferences relating to the quality of the objects of interest, adjustments to the context, and patterns recognized from graphical properties of the sub graphs.

Abstract: An automotive air conditioner includes a storage unit which stores a plurality of pieces of state information as respective learned data; a learning unit which constructs a probabilistic model; a control information correcting unit which corrects setting information, etc., related to a vehicle occupant's setting operation in accordance with a calculated probability so as to achieve a specific setting operation; and an air-conditioning control unit which controls an air-conditioning unit in accordance with the corrected setting information, etc.

Abstract: An air conditioner for a vehicle includes an air-conditioning unit for supplying conditioned air into a vehicle, an information acquiring unit for acquiring state information indicating a state of the vehicle, a control information modifying unit having at least one probabilistic model for calculating the probability that a passenger will perform a predetermined setting operation, calculating the probability by inputting the state information into the at least one probabilistic model, and modifying the setting information or the control information related to the predetermined setting operation according to the probability so that the predetermined setting operation is performed, and an air-conditioning control unit for controlling the air-conditioning unit according to the modified setting information or modified control information.

Abstract: A method for predicting future responses from large sets of dyadic data includes measuring a dyadic response variable associated with a dyad from two different sets of data; measuring a vector of covariates that captures the characteristics of the dyad; determining one or more latent, unmeasured characteristics that are not determined by the vector of covariates and which induce local structures in a dyadic space defined by the two different sets of data; and modeling a predictive response of the measurements as a function of both the vector of covariates and the one or more latent characteristics, wherein modeling includes employing a combination of regression and matrix co-clustering techniques, and wherein the one or more latent characteristics provide a smoothing effect to the function that produces a more accurate and interpretable predictive model of the dyadic space that predicts future dyadic interaction based on the two different sets of data.

Abstract: A performance evaluating apparatus for a rule is provided, which is capable of evaluating a business value of a rule applied to the operation and management of an information system through autonomous control. The performance evaluating apparatus for a rule collects, respectively be fore activation processing that is prescribed by a rule and after completion of the execution of the processing, a rule execution history and a system state information indicating a state of a monitored information system that is necessary for calculation of the business value. The business value is calculated from the collected system state information and rule execution history by a given calculation formula.

Abstract: A learning apparatus includes a storage unit configured to store a network formed by a plurality of nodes each holding dynamics; a learning unit configured to learn the dynamics of the network in a self-organizing manner on the basis of observed time-series data; a winner-node determiner configured to determine a winner node, the winner node being a node having dynamics that best match the time-series data; and a weight determiner configured to determine learning weights for the dynamics held by the individual nodes according to distances of the individual nodes from the winner node. The learning unit is configured to learn the dynamics of the network in a self-organizing manner by degrees corresponding to the learning weights.

Abstract: The invention comprises an article and method for transforming a complex or large decision tree having multiple variables; multiple values for each variable; and, multiple outcomes for each combination of variables and their associated values, into a compact, efficient graphical representation to provided enhanced ease of use and interaction by a human user. More particularly, the invention comprises a computationally efficient method for transforming an input decision tree into an optimal compact representation by computing a particular ordering of variables in the decision tree that first leads to a Directed Acyclic Graph, or “DAG,” with a minimum number of nodes. The method then converts the DAG into an exception-based DAG, or “EDAG,” with exactly one exception, having an optimal, minimum number of nodes with increased comprehensibility for a user.

Abstract: An action efficiency support apparatus includes a detection unit, a storage unit, a calculation unit and a judgment unit. The detection unit detects an activity to acquire activity information. The storage unit stores the activity information. The calculation unit calculates a probability pattern as to presence or absence of the activity in a predetermined period or a probability pattern a frequency of the activity in the predetermined period, based on the activity information. The judgment unit judges an effect of personal action based on the calculated probability pattern.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to inquiry resolution for KM systems and provide a method, system and computer program product for multi-channel answering services for inquiry resolution in a KM system. In an exemplary embodiment of the invention, a method for multi-channel answering services for inquiry resolution in a KM system can include receiving a request for interaction with an answering server of the KM system, extracting question text from the request along with question text meta-data, and deducing a context for the question text from the question text meta-data. Thereafter, the context can be analyzed to determine a preferred channel of communication, a preferred mode of interaction and a preferred delivery format for interacting with the answering server. Finally, the answer content can be provided for the question text according to the preferred channel of communication, the preferred mode of interaction and the preferred delivery format.

Abstract: Methods and computer apparatus are disclosed for deriving first order logic language rules for use in analyzing new data to identify anomalies in the new data. Historical data is formatted to be in a form suitable for application of a machine-learning algorithm thereto. The machine-learning algorithm is applied to the formatted historical data to generate a set of first order logic language rules that cover the formatted historical data. The set of first order logic language rules are analyzed to obtain a subset of said set of first order logic language rules which can be used as first order logic language rules in analyzing new data.

Abstract: Methods and systems capable of creating a component for determining which subset of a set of logical expressions are true with relatively few evaluations of the primitives that, together with any standard logical connectives, make up the logical expressions.

Abstract: An ad system is described for providing ad selections in response to an ad presentation opportunity. The ad system can use multiple content providers to generate multiple sets of ad candidates. The content providers can apply different ad selection paradigms in generating their sets of ad candidates. The paradigms may act on different aspects of a context pertaining to the ad presentation opportunity. A chooser module and filtering module can cull the set of ad selections from among the plural sets of ad candidates. At least one content provider uses machine learning functionality in generating ad candidates, such as a Naïve Bayesian approach, an affiliate similarity approach, etc. Various content providers also find application in a stand-alone mode.

Abstract: An ad system is described for providing ad selections in response to an ad presentation opportunity. The ad system can use multiple content providers to generate multiple sets of ad candidates. The content providers can apply different ad selection paradigms in generating their sets of ad candidates. The paradigms may act on different aspects of a context pertaining to the ad presentation opportunity. A chooser module and filtering module can cull the set of ad selections from among the plural sets of ad candidates. At least one content provider uses machine learning functionality in generating ad candidates, such as a Naïve Bayesian approach, an affiliate similarity approach, etc. Various content providers also find application in a stand-alone mode.

Abstract: A system for identifying radionuclide emissions is described. The system includes at least one processor for processing output signals from a radionuclide detecting device, at least one training algorithm run by the at least one processor for analyzing data derived from at least one set of known sample data from the output signals, at least one classification algorithm derived from the training algorithm for classifying unknown sample data, wherein the at least one training algorithm analyzes the at least one sample data set to derive at least one rule used by said classification algorithm for identifying at least one radionuclide emission detected by the detecting device.

Abstract: An improved system and method is provided for efficiently learning a network of categories using prediction. A learning engine may receive a stream of characters and incrementally segment the stream of characters beginning with individual characters into larger and larger categories. To do so, a prediction engine may be provided for predicting a target category from the stream of characters using one or more context categories. Upon predicting the target category, the edges of the network of categories may be updated. A category composer may also be provided for composing a new category from existing categories in the network of categories, and a new category composed may then be added to the network of categories. Advantageously, iterative episodes of prediction and learning of categories for large scale applications may result in hundreds of thousands of categories connected by millions of prediction edges.

Abstract: A system, method, and computer program product for observing and modifying activity in an actor processor are presented. An observer module is provided for observing a physical property of an actor processor. The observer module comprises a property-observing sensor for detecting and sampling a physical property of the actor processor and for generating an observation signal based on the physical property. The observer module further comprises an observer processor coupled with the property-observing sensor for receiving the observation signal, the observer processor operative to generate an observer output signal based on the observation signal. The observer module permits the observer processor to monitor the actor processor in a manner that isolates an instruction set of the observer processor from direct manipulation by means of an instruction set of the actor processor. Observer processors may be used in a recursive manner to provide a completely-coupled observation module.

Abstract: A method of classifying an anonymous user communicating over a computer network, such as by age, gender, or personal interests, based on the content generated or otherwise communicated by the user. The method includes: (a) providing sets of reference attributes, wherein each set of reference attributes is associated with one of a number of personal profile classes; (b) analyzing the user content in order to extract a set of attributes corresponding to such content; (c) comparing the set of extracted attributes against the plural sets of reference attributes in order to find a close match; and (d) associating the user with the personal profile class of the matched set of reference attributes.