Titlebook: Neural Information Processing; 18th International C Bao-Liang Lu,Liqing Zhang,James Kwok Conference proceedings 2011 Springer-Verlag GmbH B

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Multi-Label Weighted ,-Nearest Neighbor Classifier with Adaptive Weight Estimation and implement efficient and effective multi-label algorithms is a challenging issue. The .-nearest neighbor (.NN) method and its weighted form (W.NN) are simple but effective for binary and multi-class classification. In this paper, we construct a weighted .NN version for multi-label classification

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Emotiono: An Ontology with Rule-Based Reasoning for Emotion Recognitiontive states has many applications, ranging from personalized content recommendation to automatic tutoring systems. In this work, we propose an ontology called ‘Emotiono’ for the robust recognition of emotions through Electroencephalogram (EEG). In ‘Emotiono’, we define entities such as users’ emotio

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Feature Extraction via Balanced Average Neighborhood Margin Maximizationroblem. For each specific training sample, ANMM enlarges the margin between itself and its neighbors which are not in its class (heterogeneous neighbors), meanwhile keeps this training sample and its neighbors which belong to the same class (homogeneous neighbor) as close as possible. However, these