Abstract: Analyzing a set of policies. A goal comprising a particular outcome is received. An analysis object comprising a data structure maintaining information needed to perform an analysis of the goal is defined. The analysis object is configured to limit a number of calculations needed to achieve the goal. Each member of a set of expressions found in the set of policies has an output. The output is the same for each expression. One of the set of expressions is solved. The solved output is cached in the analysis object such that the solved output is associated with each member of the set of expressions. The analysis object is processed to create a set of values that achieves the goal. Processing includes referencing the cache to retrieve the solved output each time a member of the set of expressions is to be solved during processing of the analysis object.

Abstract: A system and method of profile matching using a multi-media survey is described. The method is capable to capturing the emotional reflex of a user. The method is generalized to categorizing an entity (a user or an object) to specific segment with similar emotional profiles. Each entity can be assigned to an emotional code. Such code can be used as a universal vocabulary in the emotional space for both commerce and consumers to adopt in facilitating communication among different parties.

Abstract: Users are enabled to provide structured ratings for various attributes of items or other such content in an electronic environment. Users are able to rate existing attributes associated with an item, or new attributes that the users want to associate with the item. In addition to allowing users to provide a rating for each attribute, users can be prompted to include information relating to these attributes in reviews for the respective item(s). Attributes can be automatically applied to various items using a process that determines aspects of items that are indicative of each attribute being relevant, and automatically applies the attributes to items having at least some of those or similar aspects. Various models and algorithms are described for providing such functionality.

Abstract: Disclosed is an apparatus and method for estimating a state of charge (SOC) in a battery, the apparatus including a detector unit; a soft computing unit for calculating and outputting a battery SOC estimation value by processing a current, a voltage and a temperature detected by the detector unit using a computing algorithm, which is a fuzzy algorithm implemented as a neural network, the soft computing unit storing the battery SOC estimation value in a memory, where the fuzzy algorithm has a form expressed as F=?(P,X)W, where ? is one of a fuzzy radial function, a radial basis function, and an activation function in the neural network, P is a learning parameter, X is an input, and W is a weight to be updated during learning.

Abstract: Using variable neuron thresholds and extended Hebb's rule in a neural network, a neuron device for simulating a nerve cell includes a threshold storage unit storing a threshold variable ? and threshold coefficients ??1 and ??2; an input reception unit receiving one or more input signal values at predetermined time intervals; an output unit outputting an output signal value “1” indicating that the neuron device is firing when the sum total s of received input signal values is equal to or greater than the value of the stored threshold variable ?, or a value “0” indicating that the neuron device is resting; and a threshold updating unit calculating ??1X+??2(X?1) using the output signal value X and the stored threshold coefficients ??1 and ??2 and updating the value of the threshold variable ? stored in the threshold storage unit by increasing it by the calculation result.

Abstract: A method is provided for transforming data elements within a classification system based in part on input from a human annotator or expert. A first concept evolution model as a training set is composed from a first set of selectively determinable annotations and the first concept evolution model. A trained model is generated after training a learning algorithm with the training set and the concept evolution model. A confidence factor is computed that a predicted annotation is accurately identified. A selected element instance and a corresponding suggested annotation are identified to have a low confidence factor. The classifying of the applied annotation is adjusted where a second concept evolution model is composed for more accurate classifying of the data item.

Abstract: 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.

Abstract: A system, method, and computer program for validating a rule set for applicable checks of a part, comprising querying a validation rule set; correlating a part data to said validation rule set; comparing a part against said part data; and whereby said part is approved at an event, and appropriate means and computer-readable instructions.

Abstract: A system for finding and presenting content items in response to keystrokes entered by a user on an input device having a known layout of overloaded keys selected from a set of key layouts. The system includes a database containing content items and terms characterizing the content items; input logic for receiving keystrokes from the user and building a string corresponding to incremental entries by the user, each item in the string having the set of alphanumeric symbols associated with a corresponding keystroke; mapping logic to map the string to the database to find the most likely content items corresponding to the incremental entries, the mapping logic operating in accordance with a defined error model corresponding to the known layout of overloaded keys; and presentation logic for ordering the most likely content items identified by the mapping logic and for presenting the most likely content items.

Abstract: The diagnostic and report system tests computer systems for defects that are able to cause performance and functional problems. An agent application is first installed on a user's system. The agent application then retrieves problem data from the expert system library pertinent to the user's operating environment. The agent application tests the user's system for each problem description within a downloaded data structure from the expert system library. If a problem is discovered, a script attempts to remediate the problem and/or notifies the user, describing the issue. The agent application utilizes discrete programs and/or scripts to send data to a knowledge base so that the knowledge base is able to generate new discrete programs and/or scripts using artificial intelligence which are sent to the expert system library. With additional discrete programs and/or scripts, the user's system is better protected.

Abstract: Systems, methods, and other embodiments associated with equivalence reasoning are described. One example method includes constructing a clique map that maps groups of equivalent resources to a representative canonical resource. The clique map is constructed by iteratively inputting batches of equivalence pairs from a semantic model to operating memory and building, in operating memory, one or more cliques for the input batch. Cliques for various input batches of equivalence pairs are merged in memory to produce the clique map for use by the semantic model. Triples associated with the semantic model may be consolidated by replacing resources that are in a clique with their corresponding representative canonical resource.

Abstract: A facility for the reconciliation of data records pertaining to business entities. One or more fitness functions are applied to fields contained in two conflicting data records to assess the similarity of each field. The results of the fitness functions are then weighted and combined to assess the likelihood that the two data records are associated with the same business entity. When the weighted fitness functions are applied to conflicting data records, the fitness functions generate a confidence level that the compared records are associated with the same business entity. If the confidence level exceeds a certain threshold, the facility accepts that the data records refer to the same business entity and synthesizes a business record from the data records.

Abstract: Although recording of usage data is common in scholarly information services, its exploitation for the creation of value-added services remains limited due to concerns regarding, among others, user privacy, data validity, and the lack of accepted standards for the representation, sharing and aggregation of usage data. A technical, standards-based architecture for sharing usage information is presented. In this architecture, OpenURL-compliant linking servers aggregate usage information of a specific user community as it navigates the distributed information environment that it has access to. This usage information is made OAI-PMH harvestable so that usage information exposed by many linking servers can be aggregated to facilitate the creation of value-added services with a reach beyond that of a single community or a single information service.

Abstract: Disclosed are various embodiments of a system, method and computer readable medium for network page latency reduction. In one embodiment, among others, a system comprises a processor circuit and a memory associated with the processor circuit. The system further comprises a distribution estimator configured to estimate a distribution corresponding to latency data regarding a plurality of instances of a network page. The system further comprises an attribute comparator configured to identify an attribute associated with a subset of the instances of a network page. The subset of the instances corresponds to a latency data substantially represented by a tail of the distribution. Additionally, the system comprises a recommendation generator configured to generate a modification recommendation for the subset of the instances of the network page.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for outcome estimation and content item selection. In one aspect, a method includes training an outcome estimation model using both regression prediction quality measures and ranking prediction quality measures. In response to receiving a request for one or more content items; a predicted outcome is computed for each content item in a set of content items, each respective outcome being computed using the outcome estimation model and feature values associated with each respective the content item. Selection scores are computed for the content items using the predicted outcome. In turn, one or more content items are selected for presentation based on the selection scores; and data are provided that cause presentation of the one or more content items at a client device.

Abstract: An optimal conditional operational schedule for a set of power generators is determined by constructing states and transitions of a factored Markov decision process (fMDP) from a target electrical demand and generator variables. A cost function for the fMDP is constructed based on the electrical demand, the generator variables, and a risk coefficient. Then, the fMDP is solved to obtain the optimal conditional operational schedule.

Abstract: A method for implementing inter-domain information quality assessment includes calculating relationships among domains in a knowledge base by identifying features that respectively define each of the domains and identifying domains having correlating features. The method also includes assigning values to pairs of the domains that reflect a closeness of the relationships based upon the correlating features. The method further includes evaluating a reputation of an entity in one domain based on past performance of the entity with respect to another domain where the other domain is determined, via the assigned values, to be related to the domain. The past performance of the entity indicates capabilities of the entity to render accurate predictions about events in a particular domain. The method also includes calculating a value representing the reputation of the entity with respect to the domain based upon the evaluation and assigning the value representing the reputation to the entity.

Abstract: A method and system for implementing a weighted belief network that assists collaborative users in making decisions. A belief network structure is employed that further includes user controlled weighting and biasing factors to adjust the probabilities for the various nodes. The various participants have the opportunity to make adjustments to the weighting and credibility of the evidence and participants in the decision making process in order to arrive at what may be perceived as a more objective outcome. As the collaborative environment is established and the belief network is built, each user can apply various weighting and bias scenarios from their own perspective thereby allowing each discrete user to work out their various suspicions regarding the bias of other participants or the actual weight of a discrete piece of supporting evidence in the context of the entire belief network.

Abstract: A service, which in one embodiment is a fashion social network, applies pre-defined criteria to items proposed for selection by a user, in order to determine if the proposed items are compatible with descriptive attributes and/or current possessions of the user.

Abstract: A system and method that calibrates subject data for which a relationship to a target population is not known, so that the calibrated subject data can more accurately represent the target population. In many cases the calibration will involve the use of a differential weighting scheme applied to the data at the constituent level. The system and method allows the values of the observed variables in the subject data set to be weighted so that their incidence is equivalent to that of a reference population represented by a reference data set, even if the variables used in the reference data set to make estimates for the reference population were not collected or measured for the subject data set.