A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation

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	A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation
	Liu, JL; Li, JP; Xu, WX; Shi, Y
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
关键词	Least Squares Support Vector Machine Weight Adaptive Penalty Classification Robust Sparse
摘要	The standard Support Vector Machine (SVM) minimizes the c-insensitive loss function subject to L-2 penalty, which equals solving a quadratic programming. While the least squares support vector machine (LS-SVM) considers equality constraints instead of inequality constrains, which corresponds to solving a set of linear equations to reduce computational complexity, loses sparseness and robustness. These two learning methods are non-adaptive since their penalty functions are pre-defined in a top-down manner, which do not work well in all situations. In this paper, we try to solve these two drawbacks and propose a weighted L-q adaptive LS-SVM model (WLq-LS-SVM) classifiers that combines the prior knowledge and adaptive learning process, which adaptively chooses q according to the data set structure. An evolutionary strategy-based algorithm is suggested to solve the WLq-LS-SVM. Simulation and real data tests have shown the effectiveness of our method. (C) 2010 Elsevier Ltd. All rights reserved.
	2011
卷号	38 期号:3 页码:7,2253-2259
ISSN	0957-4174
学科领域	Computer Science ; Artificial Intelligence ; Electrical & Electronic ; Engineering ; Operations Research & Management Science
收录类别	SCI
语种	英语
WOS记录号	WOS:000284863200106
引用统计	被引频次：30[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.casisd.cn/handle/190111/4331
专题	中国科学院科技政策与管理科学研究所(1985年6月-2015年12月)
推荐引用方式 GB/T 7714	Liu, JL,Li, JP,Xu, WX,et al. A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation[J]. EXPERT SYSTEMS WITH APPLICATIONS,2011,38(3):7,2253-2259.
APA	Liu, JL,Li, JP,Xu, WX,&Shi, Y.(2011).A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation.EXPERT SYSTEMS WITH APPLICATIONS,38(3),7,2253-2259.
MLA	Liu, JL,et al."A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation".EXPERT SYSTEMS WITH APPLICATIONS 38.3(2011):7,2253-2259.

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