Titlebook: Neural Information Processing; 20th International C Minho Lee,Akira Hirose,Rhee Man Kil Conference proceedings 2013 Springer-Verlag Berlin

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Single-Trial Event-Related Potentials Classification via a Discriminative Dictionary Learning Schem in single-trial event-related potentials classification. Considered the burden from repeating psychological experiments, the classification with less training samples is still a challenge in both cognitive science and pattern recognition. In this paper, a discriminative dictionary learning based sc

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A Preliminary Study on Neural Basis of Collaboration as Mediated by the Level of Reasoning,rder or high; first-order) of other person. Fourteen volunteers played a collaborative matrix game with a computerized agent and predicted the agent’s behavior in the functional magnetic resonance imaging (fMRI) scan session. From the results, the collaboration game evoked neuronal activations withi

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Risk-Aware Recommender Systems, between maximizing its expected rewards dealing with its current knowledge (exploitation) and learning more about the unknown user’s preferences to improve its knowledge (exploration). This problem has been addressed by the reinforcement learning community but they do not consider the risk level of

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A Two Stage Approach for High School Timetabling,l Timetabling Problem which requires assignment of events, such as courses, and resources, such as classrooms, to time-slots under a set of different types of constraints. We describe an approach that hybridises an Evolutionary Algorithm variant and Simulated Annealing methods to solve this problem.

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Self-organized Neural Representation of Time, time remain largely unknown. In the present work we follow a self-organized connectionist modeling approach to study how time may be encoded in a neural network based cognitive system in order to provide suggestions for possible time processing mechanisms in the brain. A particularly interesting fe

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An Enhanced Mental Model Elicitation Technique to Improve Mental Model Accuracy,that is . and ., the users are required to articulate only the mental models, without invoking the corresponding experiential knowledge stored in .. The elicitation of mental models without being endorsed by experiential knowledge may lead to inaccurate, invalidated or biased mental models, and espo

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Role of Gestalt Principles in Selecting Attention Areas for Object Recognition,tention. In this paper, we present a series of studies in which we hypothesized that regions of image that get more attention in an object recognition task, confirm to one or more gestalt principles and subconsciously attract human attention which eventually help in object recognition. In our study,

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Detection of Error-Prone Cases for Word Sense Disambiguation,tural language interface, since the performance of such applications depends on the senses of lexicons. Thus, it is natural to consider lexicons as the most crucial features in WSD. However, due to the extensiveness of lexical space, WSD methods based on machine learning techniques with lexical feat

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