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Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification

文献类型：期刊论文

作者Ding, Shifei2,3; Zhang, Xiekai2; An, Yuexuan2; Xue, Yu1
刊名PATTERN RECOGNITION
出版日期2017-07-01
卷号67页码:32-46
关键词Multi-class classification Twin support vector machine Multiple birth support vector machine Granular computing
ISSN号0031-3203
DOI10.1016/j.patcog.2017.02.011
英文摘要Recently proposed weighted linear loss twin support vector machine (WLTSVM) is an efficient algorithm for binary classification. However, the performance of multiple WLTSVM classifier needs improvement since it uses the strategy 'one-versus-rest' with high computational complexity. This paper presents a weighted linear loss multiple birth support vector machine based on information granulation (WLMSVM) to enhance the performance of multiple WLTSVM. Inspired by granular computing, WLMSVM divides the data into several granules and builds a set of sub-classifiers in the mixed granules. By introducing the weighted linear loss, the proposed approach only needs to solve simple linear equations. Moreover, since WLMSVM uses the strategy "all-versus-one" which is the key idea of multiple birth support vector machine, the overall computational complexity of WLMSVM is lower than that of multiple WLTSVM. The effectiveness of the proposed approach is demonstrated by experimental results on artificial datasets and benchmark datasets. (C) 2017 Elsevier Ltd. All rights reserved.
资助项目National Natural Science Foundation of China[61379101] ; National Natural Science Foundation of China[61672522] ; National Key Basic Research Program of China[2013CB329502] ; Priority Academic Program Development of Jiangsu Higer Education Institutions(PAPD) ; Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology(CICAEET)
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000399520700004
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.204/handle/2XEOYT63/7253]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ding, Shifei
作者单位1.Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China
2.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Ding, Shifei,Zhang, Xiekai,An, Yuexuan,et al. Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification[J]. PATTERN RECOGNITION,2017,67:32-46.
APA Ding, Shifei,Zhang, Xiekai,An, Yuexuan,&Xue, Yu.(2017).Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification.PATTERN RECOGNITION,67,32-46.
MLA Ding, Shifei,et al."Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification".PATTERN RECOGNITION 67(2017):32-46.

入库方式： OAI收割

来源：计算技术研究所

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