Robust support vector machines based on the rescaled hinge loss function | |
Xu, Guibiao1![]() ![]() | |
刊名 | PATTERN RECOGNITION
![]() |
2017-03-01 | |
卷号 | 63页码:139-148 |
关键词 | Support Vector Machine Robustness Rescaled Hinge Loss Half-quadratic Optimization |
DOI | 10.1016/j.patcog.2016.09.045 |
文献子类 | Article |
英文摘要 | The support vector machine (SVM) is a popular classifier in machine learning, but it is not robust to outliers. In this paper, based on the Correntropy induced loss function, we propose the resealed hinge loss function which is a monotonic, bounded and nonconvex loss that is robust to outliers. We further show that the hinge loss is a special case of the proposed resealed hinge loss. Then, we develop a new robust SVM based on the resealed hinge loss. After using the half-quadratic optimization method, we find that the new robust SVM is equivalent to an iterative weighted SVM, which can help explain the robustness of iterative weighted SVM from a loss function perspective. Experimental results confirm that the new robust SVM not only performs better than SVM and the existing robust SVMs on the datasets that have outliers, but also presents better sparseness than SVM. |
WOS关键词 | CLASSIFICATION ; MINIMIZATION ; RECOGNITION ; CORRENTROPY ; SIGNAL |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000389785900011 |
资助机构 | NSFC(61273196) ; China Scholarship Council |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/13367] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China 2.Univ Florida, CNEL, Dept Elect & Comp Engn, Gainesville, FL 32611 USA |
推荐引用方式 GB/T 7714 | Xu, Guibiao,Cao, Zheng,Hu, Bao-Gang,et al. Robust support vector machines based on the rescaled hinge loss function[J]. PATTERN RECOGNITION,2017,63:139-148. |
APA | Xu, Guibiao,Cao, Zheng,Hu, Bao-Gang,&Principe, Jose C..(2017).Robust support vector machines based on the rescaled hinge loss function.PATTERN RECOGNITION,63,139-148. |
MLA | Xu, Guibiao,et al."Robust support vector machines based on the rescaled hinge loss function".PATTERN RECOGNITION 63(2017):139-148. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论