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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 5/2016

01-10-2016 | Original Article

Multiple recursive projection twin support vector machine for multi-class classification

Authors: Chun-Na Li, Yun-Feng Huang, He-Ji Wu, Yuan-Hai Shao, Zhi-Min Yang

Published in: International Journal of Machine Learning and Cybernetics | Issue 5/2016

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Abstract

For multi-class classification problem, a novel multiple projection twin support vector machine (Multi-PTSVM) is proposed. Our Multi-PTSVM solves \(K\) quadratic programming problems (QPPs) to obtain \(K\) projection axes, which is similar to binary PTSVM, but the regularization terms and recursive procedure are introduced for each class, which improve the generalization ability greatly. Comparisons against the Multi-SVM, Multi-TWSVM, Multi-GEPSVM, and our Multi-PTSVM on both synthetic and benchmark datasets indicate that our Multi-PTSVM has its advantages.
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Metadata
Title
Multiple recursive projection twin support vector machine for multi-class classification
Authors
Chun-Na Li
Yun-Feng Huang
He-Ji Wu
Yuan-Hai Shao
Zhi-Min Yang
Publication date
01-10-2016
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 5/2016
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-014-0289-2

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