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Volumn , Issue , 2010, Pages 181-185

Solid convex-hull sequential support vector machine

Author keywords

Accelerated algorithm; Machine learning; SVM

Indexed keywords

ACCELERATED ALGORITHM; CLASSIFICATION TOOL; DATA SETS; LARGE DATA; MACHINE-LEARNING; SUPPORT VECTOR; SVM; SVM ALGORITHM; TRAINING TIME;

EID: 79952075446     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BWCCA.2010.68     Document Type: Conference Paper
Times cited : (1)

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  • 3
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    • Dec
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    • Kim, K.I.1    Jung, K.2    Kim, J.H.3
  • 4
    • 0002714543 scopus 로고    scopus 로고
    • Making Large-scale Support Vector Machine Learning Pratical
    • Scḧolkopf, B., Burges, C.J., Smola, A.J.(eds.) MIT Press
    • Thorsten Joachims, "Making Large-scale Support Vector Machine Learning Pratical". In: Scḧolkopf, B., Burges, C.J., Smola, A.J.(eds.), Advances in Kernel Methods-Support Vector Learning. MIT Press (2000) 169-184
    • (2000) Advances in Kernel Methods-Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 5
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Schölkopf, C. Burges, A. Smola (eds.)
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  • 7
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  • 14
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    • Accurate Classification of the Internet Traffic Based on the SVM Method
    • Digital Object Identifier 10.1109/ICC.2007.231
    • Zhu Li, Ruixi Yuan and Xiaohong Guan. "Accurate Classification of the Internet Traffic Based on the SVM Method" Communications, 2007. ICC '07. IEEE International Conference on24-28 June 2007 Page(s):1373-1378 Digital Object Identifier 10.1109/ICC.2007.231.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.