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| an overview on twin support vector machines | |
| Ding Shifei; Yu Junzhao; Qi Bingjuan; Huang Huajuan | |
| 2012 | |
| Source | Artificial Intelligence Review
 |
| ISSN | 0269-2821 |
| Pages | 1-8 |
| English Abstract | 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. |
| Indexed Type | EI |
| Keyword | Eigenvalues And Eigenfunctions Research |
| Department | (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 |
| Language | 英语 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15466 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
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