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	Design of a multiple kernel learning algorithm for LS-SVM by convex programming
	Jian, Ling; Xia, Zhonghang; Liang, Xijun; Gao, Chuanhou
刊名	NEURAL NETWORKS
	2011
卷号	24页码:476-483
关键词	Least squares support vector machines Multiple kernel learning Convex optimization Semidefinite programming Quadratically constrained quadratic programming
ISSN号	0893-6080
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/4839457
专题	大连理工大学
作者单位	1.Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China. 2.China Univ Petr, Sch Math & Computat Sci, Dongying 257061, Peoples R China. 3.Western Kentucky Univ, Dept Comp Sci, Bowling Green, KY 42101 USA. 4.Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China. 5.Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China. 6.Zhejiang Univ, Dept Math, Hangzhou 310027, Peoples R China.
推荐引用方式 GB/T 7714	Jian, Ling,Xia, Zhonghang,Liang, Xijun,et al. Design of a multiple kernel learning algorithm for LS-SVM by convex programming[J]. NEURAL NETWORKS,2011,24:476-483.
APA	Jian, Ling,Xia, Zhonghang,Liang, Xijun,&Gao, Chuanhou.(2011).Design of a multiple kernel learning algorithm for LS-SVM by convex programming.NEURAL NETWORKS,24,476-483.
MLA	Jian, Ling,et al."Design of a multiple kernel learning algorithm for LS-SVM by convex programming".NEURAL NETWORKS 24(2011):476-483.

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