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	Sparse Gaussian Process regression model based on l(1/2) regularization
	Kou, Peng; Gao, Feng
刊名	APPLIED INTELLIGENCE
	2014
卷号	40期号:[db:dc_citation_issue]页码:669-681
关键词	Regularization Sparse model Regression Gaussian process Machine learning
ISSN号	0924-669X
DOI	[db:dc_identifier_doi]
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/3300418
专题	西安交通大学
推荐引用方式 GB/T 7714	Kou, Peng,Gao, Feng. Sparse Gaussian Process regression model based on l(1/2) regularization[J]. APPLIED INTELLIGENCE,2014,40([db:dc_citation_issue]):669-681.
APA	Kou, Peng,&Gao, Feng.(2014).Sparse Gaussian Process regression model based on l(1/2) regularization.APPLIED INTELLIGENCE,40([db:dc_citation_issue]),669-681.
MLA	Kou, Peng,et al."Sparse Gaussian Process regression model based on l(1/2) regularization".APPLIED INTELLIGENCE 40.[db:dc_citation_issue](2014):669-681.

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