Titlebook: Brain and Health Informatics; International Confer Kazayuki Imamura,Shiro Usui,Ning Zhong Conference proceedings 2013 Springer Internationa

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Peculiarity Oriented EEG Data Stream MiningG data are captured in the form of stream data, we extended the ordinary POM to Peculiarity Oriented Stream Mining for analyzing such EEG data in a real-time fashion. Experimental results show that the proposed method is feasible and effective.

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Conference proceedings 2013October 2013. The 33 revised full papers presented together with 8 workshop papers and 12 special session papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on thinking and perception-centric Investigations of human Information process

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Machine Learning for Predictive Analysislly determined as the stimulating site. However, it is difficult to find the optimal position to be stimulated by changing the coil. In this study, we propose an optimization method of the current distribution using a magnetic substance, without varying the coil’s position. We verify our method by a computer simulation.

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Combining Two Visual Cognition Systems Using Confidence Radius and Combinatorial Fusion relatively good, the combined systems perform better, and (b) rank combination is often better than score combination. A unique way of making better joint decisions in visual cognition using Combinatorial Fusion is demonstrated.