Weighted multi-class support vector machine based on binary tree

A classification algorithm of the multi-class SVM based on binary tree is inducted in this paper and its advantages and defections are analyzed. To overcome its defections, a new weighted multi-class SVM based on binary tree is proposed. Furthermore the proposed method can be applied to the case of...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 3; pp. 1293 - 1297
Main Authors Xiao-Ya Mi, Ming-Hu Ha, Xu Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Binary tree
Binary trees
Classification tree analysis
Computer science
Cybernetics
Decision making
Educational institutions
Machine learning
Mathematics
Multi-class classification
Support vector machine classification
Support vector machines
Weighted support vector machine
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Summary:A classification algorithm of the multi-class SVM based on binary tree is inducted in this paper and its advantages and defections are analyzed. To overcome its defections, a new weighted multi-class SVM based on binary tree is proposed. Furthermore the proposed method can be applied to the case of regarding small sort of classification accuracy, such as fault diagnosis. Finally the experiment results show that it has higher classification accuracy than that of the traditional multi-class SVM based on the binary tree.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212244