A new multi-class support vector machine combined with decision tree and SVM is proposed. The decision direction is determined by separability measure based on class distribution, which can reduce the influence of error accumulation. A data set of BCI competition 2005 is analyzed. The satisfactory results are obtained with the highest classification accuracy 80.8%.
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