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	On the role of sparsity in feature selection and an innovative method LRMI
	Fang, Yuchun[1]; Yuan, Qiulong[2]; Zhang, Zhaoxiang[3]
刊名	NEUROCOMPUTING
	2018
卷号	321页码:237-250
关键词	Feature selection l(1) regularization Information theory Mutual information
ISSN号	0925-2312
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2171921
专题	上海大学
作者单位	1.[1]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China. 2.[2]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China. 3.[3]CASIA, Natl Lab Pattern Recognit, Beijing, Peoples R China.,Ctr Res Intelligent Percept & Comp, Beijing, Peoples R China.,CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing, Peoples R China.,Univ Chinese Acad Sci, Beijing, Peoples R China.
推荐引用方式 GB/T 7714	Fang, Yuchun[1],Yuan, Qiulong[2],Zhang, Zhaoxiang[3]. On the role of sparsity in feature selection and an innovative method LRMI[J]. NEUROCOMPUTING,2018,321:237-250.
APA	Fang, Yuchun[1],Yuan, Qiulong[2],&Zhang, Zhaoxiang[3].(2018).On the role of sparsity in feature selection and an innovative method LRMI.NEUROCOMPUTING,321,237-250.
MLA	Fang, Yuchun[1],et al."On the role of sparsity in feature selection and an innovative method LRMI".NEUROCOMPUTING 321(2018):237-250.

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