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Least squares support vector machine with parametric margin for binary classification
Yang, Zhixia1,2; Zhou, Zhe1; Jiang, Yaolin1
2016
发表期刊JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
ISSN1064-1246
卷号30期号:5页码:2897-2904
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.
关键词Support Vector Machine Classification Least Squares Parametric Margin
文章类型Article
WOS标题词Science & Technology ; Technology
DOI10.3233/IFS-151743
收录类别SCI
语种英语
关键词[WOS]CLASSIFIERS
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
项目资助者National Natural Science Foundation of China(11161045) ; China Postdoctoral Science Foundation(2015M572625) ; SRF for ROCS, SEM ; Open Funding Project of the National Key Laboratory of Biochemical Engineering(2013KF-01)
WOS记录号WOS:000374171500036
引用统计
文献类型期刊论文
条目标识符http://ir.ipe.ac.cn/handle/122111/21009
专题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
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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.
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