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Volumn 70, Issue 1-3, 2006, Pages 93-104

Developing parallel sequential minimal optimization for fast training support vector machine

Author keywords

Message passing interface (MPI); Parallel algorithm; Sequential minimal optimization (SMO); Support vector machine (SVM)

Indexed keywords

OPTIMIZATION; PROGRAM PROCESSORS; SEQUENTIAL MACHINES; WORLD WIDE WEB;

EID: 33750977854     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.05.007     Document Type: Article
Times cited : (26)

References (16)
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  • 5
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    • Making large-scale support vector machine learning practical
    • Scholkopf B., Burges C., and Smola A. (Eds), MIT Press, Cambridge, MA
    • Joachims T. Making large-scale support vector machine learning practical. In: Scholkopf B., Burges C., and Smola A. (Eds). Advances in Kernel Methods: Support Vector Machines (1998), MIT Press, Cambridge, MA
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  • 10
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    • Fast training of support vector machines using sequential minimal optimisation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.