Fuzzy support vector machine for classif
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Qi Xu; Hui Zhou; Yongji Wang; Jian Huang
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Article
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2009
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Elsevier Science
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English
β 815 KB
Translation of electroencephalographic (EEG) recordings into control signals for brain-computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likely to contain outliers. This contribution describes