Ramp loss least squares support vector machine
文献类型：期刊论文
| 作者 | Liu, Dalian1,2; Shi, Yong1,3,4,5; Tian, Yingjie3,4; Huang, Xiankai6 |
| 刊名 | Journal of computational science
 |
| 出版日期 | 2016-05-01 |
| 卷号 | 14页码:61-68 |
| ISSN号 | 1877-7503 |
| 关键词 | Least squares support vector machine Sparse Ramp loss Cccp Classification |
| DOI | 10.1016/j.jocs.2016.02.001 |
| 通讯作者 | Shi, yong(yshi@ucas.ac.cn) ; Tian, yingjie(tyj@ucas.ac.cn) |
| 英文摘要 | In this paper, we propose a novel sparse least squares support vector machine, named ramp loss least squares support vector machine (rlssvm), for binary classification. by introducing a non-convex and non-differentiable loss function based on the 8-insensitive loss function, rlssvm has several improved advantages compared with the plain lssvm: firstly, it has the sparseness which is controlled by the ramp loss, leading to its better scaling properties; secondly, it can explicitly incorporate noise and outlier suppression in the training process, and thirdly, the non-convexity of rlssvm can be efficiently solved by the concave-convex procedure (cccp). experimental results on several benchmark datasets show the effectiveness of our method. (c) 2016 elsevier b.v. all rights reserved. |
| WOS关键词 | CLASSIFICATION ; DESCENT |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE BV |
| WOS记录号 | WOS:000379560000007 |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374622 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Shi, Yong; Tian, Yingjie |
| 作者单位 | 1.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 2.Beijing Union Univ, Dept Basic Course Teaching, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R China 5.Univ Nebraska, Coll Informat Sci & Technol, Omaha, NE 68182 USA 6.Beijing Union Univ, Tourism Inst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Dalian,Shi, Yong,Tian, Yingjie,et al. Ramp loss least squares support vector machine[J]. Journal of computational science,2016,14:61-68. |
| APA | Liu, Dalian,Shi, Yong,Tian, Yingjie,&Huang, Xiankai.(2016).Ramp loss least squares support vector machine.Journal of computational science,14,61-68. |
| MLA | Liu, Dalian,et al."Ramp loss least squares support vector machine".Journal of computational science 14(2016):61-68. |
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来源：中国科学院大学
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