中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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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