Multi-label Lagrangian support vector machine with random block coordinate descent method
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- 作者：Jianhua Xu ; xujianhua@njnu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; xujianhua99@tsinghua.org.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Multi-label classification ; Support vector machine ; Kernel function ; Block coordinate descent method ; Quadratic programming
- 刊名：Information Sciences
- 出版年：2016
- 出版时间：1 February 2016
- 年：2016
- 卷：329
- 期：Complete
- 页码：184-205
- 全文大小：1047 K
文摘
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Multi-label Lagrangian support vector machine is proposed.
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Our method runs averagely much faster than two existing multi-label SVM-type methods.
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This method produces fewer support vectors than such two SVM-type rivals.
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Our new algorithm is a competitive candidate for multi-label classification.