MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multi-category Classification
Wang, Lingfeng; Zhang, Xuyao; Pan, Chunhong
发表期刊IEEE Transactions on Neural Networks and Learning Systems
2015-10
页码1-7
摘要In this brief, we propose a new margin scalable discriminative least squares regression (MSDLSR) model for multicategory classification. The main motivation behind the MSDLSR is to explicitly control the margin of DLSR model. We first prove that the DLSR is a relaxation of the traditional L₂-support vector machine. Based on this fact, we further provide a theorem on the margin of DLSR. With this theorem, we add an explicit constraint on DLSR to restrict the number of zeros of dragging values, so as to control the margin of DLSR. The new model is called MSDLSR. Theoretically, we analyze the determination of the margin and support vectors of MSDLSR. Extensive experiments illustrate that our method outperforms the current state-of-the-art approaches on various machine leaning and real-world data sets.
关键词Discriminative Least Squares Regression (Dlsr) Least Squares Regression (Lsr) Multicategory Classification.
收录类别SCI
语种英语
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10723
专题模式识别国家重点实验室_先进时空数据分析与学习
作者单位中国科学院自动化研究所
第一作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Wang, Lingfeng,Zhang, Xuyao,Pan, Chunhong. MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multi-category Classification[J]. IEEE Transactions on Neural Networks and Learning Systems,2015:1-7.
APA Wang, Lingfeng,Zhang, Xuyao,&Pan, Chunhong.(2015).MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multi-category Classification.IEEE Transactions on Neural Networks and Learning Systems,1-7.
MLA Wang, Lingfeng,et al."MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multi-category Classification".IEEE Transactions on Neural Networks and Learning Systems (2015):1-7.
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