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Volumn , Issue , 2002, Pages 1041-1048

Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines

Author keywords

[No Author keywords available]

Indexed keywords

QUADRATIC PROGRAMMING;

EID: 85156264921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (56)

References (18)
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    • Gorman, R. P.1    Sejnowski, T. J.2
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    • 0008815681 scopus 로고    scopus 로고
    • Exponentiated gradient versus gradient descent for linear predictors
    • J. Kivinen and M. Warmuth. Exponentiated gradient versus gradient descent for linear predictors. Information and Computation, 132(1):1-63, 1997.
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    • Learning the parts of objects with nonnegative matrix factorization
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    • Lee, D. D.1    Seung, H. S.2
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    • Algorithms for non-negative matrix factorization
    • T. K. Leen, T. G. Dietterich, and Tresp, editors, Cambridge, MA, MIT Press
    • D. D. Lee and H. S. Seung. Algorithms for non-negative matrix factorization. In T. K. Leen, T. G. Dietterich, and V. Tresp, editors, Advances in Neural and Information Processing Systems, volume 13, Cambridge, MA, 2001. MIT Press.
    • (2001) Advances in Neural and Information Processing Systems , vol.13
    • Lee, D. D.1    Seung, H. S.2
  • 14
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    • Cancer diagnosis via linear programming
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    • Fast training of support vector machines using sequential minimal optimization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.