an overview on twin support vector machines

ISCAS OpenIR

	an overview on twin support vector machines
	Ding Shifei; Yu Junzhao; Qi Bingjuan; Huang Huajuan
	2012
发表期刊	Artificial Intelligence Review
ISSN	0269-2821
页码	1-8
摘要	Twin support vector machines (TWSVM) is based on the idea of proximal SVM based on generalized eigenvalues (GEPSVM), which determines two nonparallel planes by solving two related SVM-type problems, so that its computing cost in the training phase is 1/4 of standard SVM. In addition to keeping the superior characteristics of GEPSVM, the classification performance of TWSVM significantly outperforms that of GEPSVM. However, the stand-alone method requires the solution of two smaller quadratic programming problems. This paper mainly reviews the research progress of TWSVM. Firstly, it analyzes the basic theory and the algorithm thought of TWSVM, then tracking describes the research progress of TWSVM including the learning model and specific applications in recent years, finally points out the research and development prospects. © 2012 Springer Science+Business Media B.V.; Twin support vector machines (TWSVM) is based on the idea of proximal SVM based on generalized eigenvalues (GEPSVM), which determines two nonparallel planes by solving two related SVM-type problems, so that its computing cost in the training phase is 1/4 of standard SVM. In addition to keeping the superior characteristics of GEPSVM, the classification performance of TWSVM significantly outperforms that of GEPSVM. However, the stand-alone method requires the solution of two smaller quadratic programming problems. This paper mainly reviews the research progress of TWSVM. Firstly, it analyzes the basic theory and the algorithm thought of TWSVM, then tracking describes the research progress of TWSVM including the learning model and specific applications in recent years, finally points out the research and development prospects. © 2012 Springer Science+Business Media B.V.
收录类别	EI
关键词	Eigenvalues And Eigenfunctions Research
部门归属	(1) School of Computer Science and Technolog China University of Mining and Technology Xuzhou 221116 China; (2) Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing 100190 China; (3) Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China
语种	英语
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15466
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Ding Shifei,Yu Junzhao,Qi Bingjuan,et al. an overview on twin support vector machines[J]. Artificial Intelligence Review,2012:1-8.
APA	Ding Shifei,Yu Junzhao,Qi Bingjuan,&Huang Huajuan.(2012).an overview on twin support vector machines.Artificial Intelligence Review,1-8.
MLA	Ding Shifei,et al."an overview on twin support vector machines".Artificial Intelligence Review (2012):1-8.