Relevance vector classifier decision fusion and EEG graph-theoretic features for automatic affective state characterization

标题
Relevance vector classifier decision fusion and EEG graph-theoretic features for automatic affective state characterization
作者
关键词
Affective states, Graph theory, Electroencephalography, Relevance vector machines, Decision fusion
出版物
NEUROCOMPUTING
Volume 174, Issue -, Pages 875-884
出版商
Elsevier BV
发表日期
2015-10-25
DOI
10.1016/j.neucom.2015.09.085

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