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	Sparse L-q-norm least squares support vector machine with feature selection
	Shao, Yuan-Hai; Li, Chun-Na; Liu, Ming-Zeng; Wang, Zhen; Deng, Nai-Yang
刊名	PATTERN RECOGNITION
	2018
卷号	78页码:167-181
关键词	Least squares support vector machine (LS-SVM) L-q-norm Feature selection Sparse approximation Global optimality
ISSN号	0031-3203
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3272676
专题	大连理工大学
作者单位	1.Hainan Univ, Sch Econ & Management, Haikou 570228, Hainan, Peoples R China. 2.Zhejiang Univ Technol, Zhijiang Coll, Hangzhou 310024, Zhejiang, Peoples R China. 3.Dalian Univ Technol Panjin, Sch Math & Phys Sci, Dalian 124221, Peoples R China. 4.Inner Monggolia Univ, Sch Math Sci, Hohhot 010021, Peoples R China. 5.China Agr Univ, Coll Sci, Beijing 100083, Peoples R China.
推荐引用方式 GB/T 7714	Shao, Yuan-Hai,Li, Chun-Na,Liu, Ming-Zeng,et al. Sparse L-q-norm least squares support vector machine with feature selection[J]. PATTERN RECOGNITION,2018,78:167-181.
APA	Shao, Yuan-Hai,Li, Chun-Na,Liu, Ming-Zeng,Wang, Zhen,&Deng, Nai-Yang.(2018).Sparse L-q-norm least squares support vector machine with feature selection.PATTERN RECOGNITION,78,167-181.
MLA	Shao, Yuan-Hai,et al."Sparse L-q-norm least squares support vector machine with feature selection".PATTERN RECOGNITION 78(2018):167-181.

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