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Convergence of a new decomposition algorithm for support vector machines
Wang, Yan-Guo; Qiao, Hong; Zhang, Bo; Huang, DS; Li, K; Irwin, GW
Source PublicationCOMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS
2006
Volume4114Pages:303-308
SubtypeArticle
AbstractDecomposition methods is the main way for solving support vector machines (SVMs) with large data sets. In this paper a new decomposition algorithm is proposed, and its convergence is also proved.
WOS HeadingsScience & Technology ; Technology
WOS KeywordSMO ALGORITHM
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000240083300039
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9220
Collection09年以前成果
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Wang, Yan-Guo,Qiao, Hong,Zhang, Bo,et al. Convergence of a new decomposition algorithm for support vector machines[J]. COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS,2006,4114:303-308.
APA Wang, Yan-Guo,Qiao, Hong,Zhang, Bo,Huang, DS,Li, K,&Irwin, GW.(2006).Convergence of a new decomposition algorithm for support vector machines.COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS,4114,303-308.
MLA Wang, Yan-Guo,et al."Convergence of a new decomposition algorithm for support vector machines".COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS 4114(2006):303-308.
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