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A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation
文献类型：期刊论文
| 作者 | Liu, JL ; Li, JP ; Xu, WX ; Shi, Y |
| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2011 |
| 卷号 | 38期号:3页码:7,2253-2259 |
| 关键词 | Least squares support vector machine Weight Adaptive penalty Classification Robust Sparse |
| ISSN号 | 0957-4174 |
| 中文摘要 | The standard Support Vector Machine (SVM) minimizes the c-insensitive loss function subject to L-2 penalty, which equals solving a quadratic programming. While the least squares support vector machine (LS-SVM) considers equality constraints instead of inequality constrains, which corresponds to solving a set of linear equations to reduce computational complexity, loses sparseness and robustness. These two learning methods are non-adaptive since their penalty functions are pre-defined in a top-down manner, which do not work well in all situations. In this paper, we try to solve these two drawbacks and propose a weighted L-q adaptive LS-SVM model (WLq-LS-SVM) classifiers that combines the prior knowledge and adaptive learning process, which adaptively chooses q according to the data set structure. An evolutionary strategy-based algorithm is suggested to solve the WLq-LS-SVM. Simulation and real data tests have shown the effectiveness of our method. (C) 2010 Elsevier Ltd. All rights reserved. |
| 学科主题 | Computer Science ; Artificial Intelligence; Engineering ; Electrical & Electronic; Operations Research & Management Science |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000284863200106 |
| 公开日期 | 2012-11-12 |
| 源URL | [http://ir.casipm.ac.cn/handle/190111/4331]  |
| 专题 | 科技战略咨询研究院_中国科学院科技政策与管理科学研究所(1985年6月-2015年12月) |
| 推荐引用方式 GB/T 7714 | Liu, JL,Li, JP,Xu, WX,et al. A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation[J]. EXPERT SYSTEMS WITH APPLICATIONS,2011,38(3):7,2253-2259. |
| APA | Liu, JL,Li, JP,Xu, WX,&Shi, Y.(2011).A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation.EXPERT SYSTEMS WITH APPLICATIONS,38(3),7,2253-2259. |
| MLA | Liu, JL,et al."A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation".EXPERT SYSTEMS WITH APPLICATIONS 38.3(2011):7,2253-2259. |
入库方式： OAI收割
来源：科技战略咨询研究院
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