QQ客服 官方微博 反馈留言

	Boosting regression methods based on a geometric conversion approach: Using SVMs base learners
	Gao, Feng; Kou, Peng; Gao, Lin; Guan, Kiaohong
刊名	NEUROCOMPUTING
	2013
卷号	113期号:[db:dc_citation_issue]页码:67-87
关键词	Ensemble learning Support vector machines Support vector regression Regression Boosting
ISSN号	0925-2312
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/4447697
专题	西安交通大学
推荐引用方式 GB/T 7714	Gao, Feng,Kou, Peng,Gao, Lin,et al. Boosting regression methods based on a geometric conversion approach: Using SVMs base learners[J]. NEUROCOMPUTING,2013,113([db:dc_citation_issue]):67-87.
APA	Gao, Feng,Kou, Peng,Gao, Lin,&Guan, Kiaohong.(2013).Boosting regression methods based on a geometric conversion approach: Using SVMs base learners.NEUROCOMPUTING,113([db:dc_citation_issue]),67-87.
MLA	Gao, Feng,et al."Boosting regression methods based on a geometric conversion approach: Using SVMs base learners".NEUROCOMPUTING 113.[db:dc_citation_issue](2013):67-87.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。