Abstract: A system and a method for creating a predictive model to select an object from a group of objects that can be associated with a requested web-page, wherein a configuration of the requested web-page defines a subgroup of one or more selected objects from the group of objects. Each web-page can include one or more links to be associated with content objects from the group. For each content object presented over a requested web-page, one or more predictive model with relevant predictive factors is processed such that the predicted objective, the probability of success for example, is calculated. A success is defined as a surfer responding to the presented content according to the preferences of the site owner. Each predicted model can be associated with a key-performance indicator (KPI). Further, a predictive model can reflect the number of times the surfer requested the web page during the surfer's visit.

Abstract: A method, apparatus and computer program product for the conversion of at least one reliability model of a technical system to a Bayesian network model for assisting in the system's failure diagnostics, has the steps of creating a structure of a Bayesian network using information from at least one reliability model of the technical system, creating parameters of the Bayesian network using information from the reliability model of the technical system, the Bayesian network model having a plurality of observation nodes, obtaining information about the plurality of observation nodes from a list of observations that augments information contained in the reliability model of the technical system, and inserting the observation nodes into the created structure of the Bayesian network.

Abstract: A method of determining a command line validity includes maintaining a block network address database including block network address information; receiving a command line from a terminal of a user; extracting network address information included in the command line; determining whether the network address information is the block network address information, with reference to the block network address database; generating log information associated with the command line in case that the network address information is not the block network address information as the result of the determination, in which the log information comprises at least one of the network address information included in the command line, input time point information with respect to the input time point of the command line, and request content information; recording the log information in a log database; and determining the validity of the command line by using the log information.

Abstract: In one embodiment, the present invention includes a method for training a Support Vector Machine (SVM) on a subset of features (d?) of a feature set having (d) features of a plurality of training instances to obtain a weight per instance, approximating a quality for the d features of the feature set using the weight per instance, ranking the d features of the feature set based on the approximated quality, and selecting a subset (q) of the features of the feature set based on the ranked approximated quality. Other embodiments are described and claimed.

Abstract: A method for storing data in a memory may include when the data may be obtained under a variable condition, determining a cell corresponding to an area of the variable condition from an entire memory area, storing the data in the cell and dividing the cell storing the data into a plurality of cells, and whenever a new data may be obtained under a new variable condition, determining a new cell corresponding to an area of the new variable condition under which the new data may be obtained, from the plurality of cells of the entire memory area and repeating storing of the new data and dividing of the new cell.

Abstract: A signal processing method and system combines multi-scale decomposition, such as wavelet, pre-processing together with a compression technique, such as an auto-associative artificial neural network, operating in the multi-scale decomposition domain for signal denoising and extraction. All compressions are performed in the decomposed domain. A reverse decomposition such as an inverse discrete wavelet transform is performed on the combined outputs from all the compression modules to recover a clean signal back in the time domain. A low-cost, non-drug, non-invasive, on-demand therapy braincap system and method are pharmaceutically non-intrusive to the body for the purpose of disease diagnosis, treatment therapy, and direct mind control of external devices and systems. It is based on recognizing abnormal brainwave signatures and intervenes at the earliest moment, using magnetic and/or electric stimulations to reset the brainwaves back to normality.

Abstract: A method is provided for detecting friend or potential friend candidates as being suspicious in an OSN. A processor is used to obtain at least one candidate as being a suspicious friend in the OSN. One or more risk factors are used in the analysis. Heuristics are applied to the risk factors with the processor. In response, a determination is made as to whether the candidate is a suspicious individual. The processor can be software, hardware, or one or more individuals can use manual methods, to do the analysis and make the determination.

Abstract: According to an embodiment, the present invention provides a method for providing automated decision in response to one or more responses. The method includes providing, at a computer system, a user interface for receiving input from a user. The method also includes detecting a first event. The method further includes receiving a first set of attributes associated with the first event. Also, the method includes processing the first set of attributes. The method additionally includes analyzing the first set of attributes using at least pattern recognition. The method includes determining a first context for the first event based at least on the first set of attributes.

Abstract: A method of adapting an environment of a terminal (2) includes: —receiving data (27) from an external source at the terminal (2); —receiving monitoring data from a system for monitoring at least one user in the environment; and —controlling at least one output device for providing an output perceptible in the environment, the output being adjusted in dependence on the monitoring data. At least one segment including data pertaining to at least one mental state is retrieved from the data (27) from the external source, and the adjustment in dependence on the monitoring data is effected at least partly on the basis of the data pertaining to the at least one mental state.

Abstract: A general model is provided which provides collective factorization on related matrices, for multi-type relational data clustering. The model is applicable to relational data with various structures. Under this model, a spectral relational clustering algorithm is provided to cluster multiple types of interrelated data objects simultaneously. The algorithm iteratively embeds each type of data objects into low dimensional spaces and benefits from the interactions among the hidden structures of different types of data objects.

Abstract: A movement determination apparatus includes an acquiring unit that acquires a plurality of position information of an object at desired periods, a classifying unit that classifies the plurality of position information acquired by the acquiring unit into a plurality of measurement segments, an estimating unit that estimates existence regions of the object in the plurality of measurement segments, on a basis of the classified plurality of position information, and a determining unit that determines movement of the object position by comparing the existence regions.

Abstract: 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.

Abstract: Paralinguistic indicators are translated at a paralinguistic translation server by receiving from a source a first set of data related to a first paralinguistic indicator that is configured to enable non-verbal communications between a source and a destination. The source is one of an instant messaging system and a virtual world system and the destination is one of the textual instant messaging system and a virtual world system but differs from the source. The first set of data related to the first paralinguistic indicator is translated into a second set of data related to a second paralinguistic indicator, such that the second paralinguistic indicator that is at least partially synonymous to the non-verbal communications associated with the first paralinguistic indicator. The second set of data related to the second paralinguistic indicator is transmitted to the destination.

Abstract: Methods for conducting a virtual simulation are provided. In one aspect, a method includes receiving a request to generate a virtual simulation between a user and a virtual character, generating the virtual simulation for the user that includes the virtual character, and determining a desired outcome from the user within the virtual simulation. The method also includes selecting a strategy, from among a plurality of strategies, for achieving the desired outcome from the user, selecting an enactment for the selected strategy, from among a plurality of enactments, for the virtual character to execute to achieve the desired outcome from the user in the virtual simulation, and controlling the virtual character to execute the selected enactment for the selected strategy to achieve the desired outcome from the user in the virtual simulation. Systems, graphical user interfaces, and machine-readable media are also provided.

Abstract: A method of detecting movement includes using a radar sensor to monitor a space, and receiving an output signal from the radar sensor. A Fourier transform is performed on the output signal to produce a frequency domain signal spectrum. The frequency domain signal spectrum is transformed into an acoustic domain signal. It is decided whether the output signal is indicative of movement of a predetermined object or a non-human animal dependent upon at least one feature of the acoustic domain signal and at least one spectral feature of the signal spectrum.

Abstract: Systems and methods for determining critical thresholds on a number of events (k) and a window length (t) for properly defining a burst of events in a data stream. A new coverage metric Ck,t is defined and used in the determination, where the coverage metric Ck,t is defined for a particular pair (k,t) as a fraction, with the numerator defined a number of events that occur within some (k,t)-bursty window and the denominator defined as the total number of events (n) that occurred along the entire time span being analyzed. Coverage metric Ck,t is monotonic non-increasing in k and monotonic non-decreasing in t, allowing for a divide-and-conquer search strategy to be used to find the critical threshold pairs (k*, t*).

Abstract: Decision trees may be built and executed to estimate an indoor location of a mobile device. In particular, a first attribute (e.g., received signal strength indication (RSSI) of one or more access points) is selected, and variations of that attribute throughout an indoor area are identified. These identified variations are mapped to the locations to generate a model. One or more decision trees are built based on the model, and an output of the decision trees estimates a location of a mobile device within the building. According to one aspect, a plurality of such decision trees may be built, and the outputs provided by the plurality of trees may be averaged to provide a more reliable result. Each of the plurality of trees may vary the attribute being analyzed, data values, or an order in which data is analyzed.

Abstract: There is provided a method including inputting a plurality of symbol strings and attribute information desired to be extracted from each symbol string; selecting a plurality of functions from a predetermined function group including a function for converting a symbol string into a numerical value, and generating a plurality of feature quantity functions for outputting a feature quantity from the symbol string by combining the plurality of functions; inputting each symbol string to each feature quantity function, and calculating a feature quantity corresponding to each symbol string; executing machine learning using the attribute information corresponding to each symbol string and the feature quantity corresponding to each symbol string, and generating an estimation function for estimating the attribute information from the feature quantity; and outputting the feature quantity functions and the estimation function.

Abstract: An exemplary method for reducing false positives produced by heuristics may include: 1) training a heuristic using a set of training data, 2) deploying the heuristic, 3) identifying false positives produced by the heuristic during deployment, and then 4) tuning the heuristic by: a) duplicating at least a portion of the false positives, b) modifying the training data to include the duplicate false positives, and c) re-training the heuristic using the modified training data. Corresponding systems and computer-readable media are also disclosed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for rule-based binding. In one aspect, a method includes receiving first input to a graphical user interface (GUI) associating a property of a data model presented in the GUI with a data view component of a document presented in the GUI, wherein a change to a value of the data view component is reflected in a value of the property in the data model when the document is used in a workflow, and wherein the workflow is a logical sequence of documents, including the document, that is processed according to the logical sequence such that values for one or more data view components associated with the documents are received.