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Hyper-parameter selection for sparse LS-SVM via minimization of its localized generalization error (EI收录SCI收录)
Sun, Binbin[1]; Ng, Wing W. Y.[2]; Yeung, Daniel S.[2]; Chan, Patrick P. K.[2]
刊名International Journal of Wavelets, Multiresolution and Information Processing
2013
卷号11页码:1-1
关键词Information systems Mathematical techniques
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/2221403
专题华南理工大学
作者单位1.[1] Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China
2.[2] Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006 Guangzhou, China
推荐引用方式
GB/T 7714
Sun, Binbin[1],Ng, Wing W. Y.[2],Yeung, Daniel S.[2],等. Hyper-parameter selection for sparse LS-SVM via minimization of its localized generalization error (EI收录SCI收录)[J]. International Journal of Wavelets, Multiresolution and Information Processing,2013,11:1-1.
APA Sun, Binbin[1],Ng, Wing W. Y.[2],Yeung, Daniel S.[2],&Chan, Patrick P. K.[2].(2013).Hyper-parameter selection for sparse LS-SVM via minimization of its localized generalization error (EI收录SCI收录).International Journal of Wavelets, Multiresolution and Information Processing,11,1-1.
MLA Sun, Binbin[1],et al."Hyper-parameter selection for sparse LS-SVM via minimization of its localized generalization error (EI收录SCI收录)".International Journal of Wavelets, Multiresolution and Information Processing 11(2013):1-1.
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