an overview on twin support vector machines
文献类型：期刊论文
| 作者 | Ding Shifei ; Yu Junzhao ; Qi Bingjuan ; Huang Huajuan |
| 刊名 | Artificial Intelligence Review
 |
| 出版日期 | 2012 |
| 页码 | 1-8 |
| 关键词 | Eigenvalues and eigenfunctions Research |
| ISSN号 | 0269-2821 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 语种 | 英语 |
| 公开日期 | 2013-09-17 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15466]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 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. |
入库方式： OAI收割
来源：软件研究所
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