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《Journal of Hunan Institute of Engineering(Natural Science Edition)》 2008-03
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Research on SVM Multi-class Classification Based on Binary tree

WANG Xiao-feng a,QIN Yu-ping b (a.Dept.of Mathematics b.College of Information Science and Engineering,Bohai University,Jinzhou 121013,China)  
SVM is an effective method of learning the classification knowledge from massive data,especially in the situation of high cost in getting labeled classical examples.SVM is used for the binary-class classification.It can't deal with multi-class classification directly.In this paper.some methods for svm multi-class classification based on binary tree are introduced.Their advantages and disadvantages are compared and further research direction is pointed out.
【CateGory Index】: TP391.41
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