Groupwise Retargeted Least-Squares Regression
Wang, Lingfeng; Pan, Chunhong
2018-04-01
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷号29期号:4页码:1352-1358
文章类型Article
摘要In this brief, we propose a new groupwise retargeted least squares regression (GReLSR) model for multicategory classification. The main motivation behind GReLSR is to utilize an additional regularization to restrict the translation values of ReLSR, so that they should be similar within same class. By analyzing the regression targets of ReLSR, we propose a new formulation of ReLSR, where the translation values are expressed explicitly. On the basis of the new formulation, discriminative least-squares regression can be regarded as a special case of ReLSR with zero translation values. Moreover, a groupwise constraint is added to ReLSR to form the new GReLSR model. Extensive experiments on various machine leaning data sets illustrate that our method outperforms the current state-of-the-art approaches.
关键词Groupwise Least-squares Regression (Lsr) Multicategory Classification Retargeted Least-squares Regression (Relsr)
WOS标题词Science & Technology ; Technology
DOI10.1109/TNNLS.2017.2651169
关键词[WOS]FEATURE-SELECTION ; CLASSIFICATION ; ALGORITHM ; MACHINE
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000427859600047
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/19748
专题模式识别国家重点实验室_先进数据分析与学习
作者单位Chinese Acad Sci, Inst Automat, Dept Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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Wang, Lingfeng,Pan, Chunhong. Groupwise Retargeted Least-Squares Regression[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(4):1352-1358.
APA Wang, Lingfeng,&Pan, Chunhong.(2018).Groupwise Retargeted Least-Squares Regression.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(4),1352-1358.
MLA Wang, Lingfeng,et al."Groupwise Retargeted Least-Squares Regression".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.4(2018):1352-1358.
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