Least squares support vector machine with parametric margin for binary classification
文献类型:期刊论文
作者 | Yang, Zhixia1,2; Zhou, Zhe1; Jiang, Yaolin1 |
刊名 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
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出版日期 | 2016 |
卷号 | 30期号:5页码:2897-2904 |
关键词 | Support vector machine classification least squares parametric margin |
ISSN号 | 1064-1246 |
英文摘要 | In this paper, we propose a least squares support vector machine with parametric margin (Par-LSSVM) for binary classification, which only needs to solve a system of linear equation. Par-LSSVM is able to handle the datasets with heteroscedastic noise. And the closer hyperplane to the test data point gives the class label, and this makes Par-LSSVM capable of dealing with "Cross Planes" datasets. The experimental results on several artificial, benchmark and USPS datasets indicate that our proposed algorithm outperforms Par-nu-SVM for binary classification problem. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence |
研究领域[WOS] | Computer Science |
关键词[WOS] | CLASSIFIERS |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000374171500036 |
源URL | [http://ir.ipe.ac.cn/handle/122111/21009] ![]() |
专题 | 过程工程研究所_生化工程国家重点实验室 |
作者单位 | 1.Xinjiang Univ, Coll Math & Syst Sci, Urumqi, Peoples R China 2.Chinese Acad Sci, Inst Proc Engn, State Key Lab Biochem Engn, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Zhixia,Zhou, Zhe,Jiang, Yaolin. Least squares support vector machine with parametric margin for binary classification[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2016,30(5):2897-2904. |
APA | Yang, Zhixia,Zhou, Zhe,&Jiang, Yaolin.(2016).Least squares support vector machine with parametric margin for binary classification.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,30(5),2897-2904. |
MLA | Yang, Zhixia,et al."Least squares support vector machine with parametric margin for binary classification".JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 30.5(2016):2897-2904. |
入库方式: OAI收割
来源:过程工程研究所
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