Abstract: Vehicle performance capability information and spatial relationship information within a vehicular environment is obtained for each of a group of vehicles. Traffic light signaling information is obtained. At least one synchronized control action is determined for each of the group of vehicles by utilizing the vehicle performance capability information in conjunction with the spatial relationship information and the traffic light signaling information.

Abstract: Various embodiments select features from a feature space. In one embodiment, a set of training samples and a set of test samples are received. A first centered Gram matrix of a given dimension is determined for each of a set of feature vectors that include at least one of the set of training samples and at least one of the set of test samples. A second centered Gram matrix of the given dimension is determined for a target value vector that includes target values from the set of training samples. A set of columns and rows associated with the at least one of the test samples in the second centered Gram matrix is set to 0. A subset of features is selected from a set of features based on the first and second centered Gram matrices.

Abstract: A user authentication method and system. A computing system receives from a user, a first request for accessing specified functions executed by a specified software application. The computing system enables a security manager software application and connects the specified software application to a computing apparatus. The computing system executes first security functions associated with the computing apparatus. The computing system executes second security functions associated with additional computing apparatuses. The computing system determines if the user may access the specified functions executed by the specified software application based on results of executing the first security functions and the second security functions. The computing system generates and stores a report indicating the results.

Abstract: Improved problem diagnosis techniques for use in accordance with computing systems, e.g., distributed computing systems, are disclosed. In one aspect of the invention, a technique for diagnosing a problem associated with a computing system comprises the following steps/operations. One or more probes are executed in accordance with at least a portion of a previously selected probe schedule. When a result of one or more of the probes of the previously selected probe schedule indicates, at least, a potential problem associated with the computing system, one or more probes which optimize at least one criterion are selected in real-time. The one or more selected probes are executed so as to diagnose the potential problem.

Abstract: A system and article of manufacture for smart reminder management include receiving input pertaining to a user task for which a schedule reminder is to be managed, automatically determining a timing and repetition management scheme for the schedule reminder based on a user model, analysis of current user context and a model of oscillators, determining a confidence level for the schedule reminder, associating the confidence level with the timing and repetition management scheme, and conveying the schedule reminder to the user in accordance with the timing and repetition management scheme.

Abstract: Techniques for smart reminder management. A method includes receiving input pertaining to a user task for which a schedule reminder is to be managed, automatically determining a timing and repetition management scheme for the schedule reminder based on a user model, analysis of current user context and a model of oscillators, determining a confidence level for the schedule reminder, associating the confidence level with the timing and repetition management scheme, and conveying the schedule reminder to the user in accordance with the timing and repetition management scheme.

Abstract: Methods for predicting states of a subject are presented. For example, a method for predicting states of a subject includes obtaining training data comprising a plurality of variables, obtaining training states associated with the training data, and forming a predictive model according to the training data and the training states, the predictive model predictive of the training states. The forming of the predictive model includes extracting one or more hidden components from the training data. The extracting of the one or more hidden components includes regression analysis including determining one or more relationships between the one or more hidden components and the plurality of variables, and determining one or more relationships between the one or more hidden components and the training states. A number of the one or more hidden components is less than a number of the plurality of variables and greater than a number of the training states.

Abstract: Various embodiments select features from a feature space. In one embodiment, a set of training samples and a set of test samples are received. A first centered Gram matrix of a given dimension is determined for each of a set of feature vectors that include at least one of the set of training samples and at least one of the set of test samples. A second centered Gram matrix of the given dimension is determined for a target value vector that includes target values from the set of training samples. A set of columns and rows associated with the at least one of the test samples in the second centered Gram matrix is set to 0. A subset of features is selected from a set of features based on the first and second centered Gram matrices.

Abstract: Various embodiments select features from a feature space. In one embodiment, a set of training samples and a set of test samples are received. A first centered Gram matrix of a given dimension is determined for each of a set of feature vectors that include at least one of the set of training samples and at least one of the set of test samples. A second centered Gram matrix of the given dimension is determined for a target value vector that includes target values from the set of training samples. A set of columns and rows associated with the at least one of the test samples in the second centered Gram matrix is set to 0. A subset of features is selected from a set of features based on the first and second centered Gram matrices.

Abstract: Various embodiments select features from a feature space. In one embodiment, a set of training samples and a set of test samples are received. The set of training samples includes a set of features and a class value. The set of test samples includes the set of features absent the class value. A relevancy with respect to the class value is determined for each of a plurality of unselected features based on the set of training samples. A redundancy with respect to one or more of the set of features is determined for each of the plurality of unselected features in the first set of features based on the set of training samples and the set of test samples. A set of features is selected from the plurality of unselected features based on the relevancy and the redundancy determined for each of the plurality of unselected features.

Abstract: Various embodiments select features from a feature space. In one embodiment, a set of training samples and a set of test samples are received. The set of training samples includes a set of features and a class value. The set of test samples includes the set of features absent the class value. A relevancy with respect to the class value is determined for each of a plurality of unselected features based on the set of training samples. A redundancy with respect to one or more of the set of features is determined for each of the plurality of unselected features in the first set of features based on the set of training samples and the set of test samples. A set of features is selected from the plurality of unselected features based on the relevancy and the redundancy determined for each of the plurality of unselected features.

Abstract: A method, information processing system, and computer readable article of manufacture model data. A first dataset is received that includes a first set of physical world data. At least one data model associated with the first dataset is generated based on the receiving. A second dataset is received that includes a second set of physical world data. The second dataset is compared to the at least one data model. A probability that the second dataset is modeled by the at least one data model is determined. A determination is made that the probability is above a given threshold. A decision associated with the second dataset based on the at least one data model is generated in response to the probability being above the given threshold. The probability and the decision are stored in memory. The probability and the decision are provided to user via a user interface.

Abstract: Techniques for smart reminder management. A method includes receiving input pertaining to a user task for which a schedule reminder is to be managed, automatically determining a timing and repetition management scheme for the schedule reminder based on a user model, analysis of current user context and a model of oscillators, determining a confidence level for the schedule reminder, associating the confidence level with the timing and repetition management scheme, and conveying the schedule reminder to the user in accordance with the timing and repetition management scheme.

Abstract: A system and article of manufacture for smart reminder management include receiving input pertaining to a user task for which a schedule reminder is to be managed, automatically determining a timing and repetition management scheme for the schedule reminder based on a user model, analysis of current user context and a model of oscillators, determining a confidence level for the schedule reminder, associating the confidence level with the timing and repetition management scheme, and conveying the schedule reminder to the user in accordance with the timing and repetition management scheme.

Abstract: Techniques for providing a prompt for real-time cognitive assistance. A method includes analyzing input from at least one environmental sensor to identify context information pertaining to a user situation, identifying a likely subsequent cognitive task of the user in the user situation based on the context information and use of a learned model, determining an action with respect to information to be suggested to the user via a corresponding prompt, wherein the determining is based on the likely subsequent cognitive task, the context information and information learned from at least one previous user situation, computing a confidence value to represent a level of certainty in the action, and providing the prompt to the user if the action has a confidence value greater than a threshold value corresponding to the action.

Abstract: A system and an article of manufacture for providing a prompt for real-time cognitive assistance include analyzing input from at least one environmental sensor to identify context information pertaining to a user situation, identifying a likely subsequent cognitive task of the user in the user situation based on the context information and use of a learned model, determining an action with respect to information to be suggested to the user via a corresponding prompt, wherein the determining is based on the likely subsequent cognitive task, the context information and information learned from at least to one previous user situation, computing a confidence value to represent a level of certainty in the action, and providing the prompt to the user if the action has a confidence value greater than a threshold value corresponding to the action.

Abstract: Methods and apparatus for language translation in a computing environment associated with a virtual application are presented. For example, a method for providing language translation includes determining languages of a user and a correspondent; determining one or more sequences of translators; determining a selected sequence of selected translators from the one or more sequences of the translators; requesting a change in virtual locations, within the computing environment associated with the virtual application, of one or more selected translator virtual representations of the selected translators to a virtual meeting location within the computing environment associated with the virtual application; and changing virtual locations of the one or more selected translator virtual representations to the virtual meeting location.

Abstract: Methods and apparatus for language translation in a computing environment associated with a virtual application are presented. For example, a method for providing language translation includes determining languages of a user and a correspondent; determining one or more sequences of translators; determining a selected sequence of selected translators from the one or more sequences of the translators; requesting a change in virtual locations, within the computing environment associated with the virtual application, of one or more selected translator virtual representations of the selected translators to a virtual meeting location within the computing environment associated with the virtual application; and changing virtual locations of the one or more selected translator virtual representations to the virtual meeting location.

Abstract: A user authentication method and system. A computing system receives from a user, a first request for accessing specified functions executed by a specified software application. The computing system enables a security manager software application and connects the specified software application to a computing apparatus. The computing system executes first security functions associated with the computing apparatus. The computing system executes second security functions associated with additional computing apparatuses. The computing system determines if the user may access the specified functions executed by the specified software application based on results of executing the first security functions and the second security functions. The computing system generates and stores a report indicating the results.

Abstract: A user authentication method and system. A computing system receives from a user, a first request for accessing specified functions executed by a specified software application. The computing system enables a security manager software application and connects the specified software application to a computing apparatus. The computing system executes first security functions associated with the computing apparatus. The computing system executes second security functions associated with additional computing apparatuses. The computing system determines if the user may access the specified functions executed by the specified software application based on results of executing the first security functions and the second security functions. The computing system generates and stores a report indicating the results.