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	A kernel-based weight-setting method in robust weighted least squares support vector regression (CPCI-S收录)
	Wen, Wen[1]; Hao, Zhi-Feng[2]; Shao, Zhuang-Feng[2]; Yang, Xiao-Wei[2,3]
会议名称	PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7
关键词	support vector machine (weighted) least squares regression robust
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/2114641
专题	华南理工大学
作者单位	1.[1]South China Univ Technol, Coll Comp Sci & Engn, Guangzhou 510641, Peoples R China 2.[2]South China Univ Technol, Sch Math Sci, Guangzhou 510641, Peoples R China 3.[3]Univ Technol Sydney, Fac Informat Technol, Sydney, NSW 2007, Australia
推荐引用方式 GB/T 7714	Wen, Wen[1],Hao, Zhi-Feng[2],Shao, Zhuang-Feng[2],等. A kernel-based weight-setting method in robust weighted least squares support vector regression (CPCI-S收录)[C]. 见:PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7.

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