메뉴 건너뛰기




Volumn , Issue , 2003, Pages

Multiplicative updates for nonnegative quadratic programming in support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

QUADRATIC PROGRAMMING;

EID: 84899026127     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (55)

References (18)
  • 1
    • 0001862769 scopus 로고
    • An inequality and associated maximization technique in statistical estimation of probabilistic functions of Markov processes
    • L. Baum. An inequality and associated maximization technique in statistical estimation of probabilistic functions of Markov processes. Inequalities, 3: 1-8, 1972.
    • (1972) Inequalities , vol.3 , pp. 1-8
    • Baum, L.1
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining, 2(2): 121-167, 1998.
    • (1998) Knowledge Discovery and Data Mining , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 6
  • 8
    • 84868111801 scopus 로고    scopus 로고
    • A new approximate maximal margin classification algorithm
    • C. Gentile. A new approximate maximal margin classification algorithm. Journal of Machine Learning Research, 2: 213-242, 2001.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 213-242
    • Gentile, C.1
  • 9
    • 0023843391 scopus 로고
    • Analysis of hidden units in a layered network trained to classify sonar targets
    • R. P. Gorman and T. J. Sejnowski. Analysis of hidden units in a layered network trained to classify sonar targets. Neural Networks, 1(1): 75-89, 1988.
    • (1988) Neural Networks , vol.1 , Issue.1 , pp. 75-89
    • Gorman, R.P.1    Sejnowski, T.J.2
  • 10
    • 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.
    • (1997) Information and Computation , vol.132 , Issue.1 , pp. 1-63
    • Kivinen, J.1    Warmuth, M.2
  • 11
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects with nonnegative matrix factorization
    • D. D. Lee and H. S. Seung. Learning the parts of objects with nonnegative matrix factorization. Altare, 401: 788-791, 1999.
    • (1999) Altare , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 12
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • T. K. Leen, T. G. Dietterich, and V. 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
    • 0002039637 scopus 로고
    • Cancer diagnosis via linear programming
    • O. L. Mangasarian and W. H. Wolberg. Cancer diagnosis via linear programming. SIAM News, 23(5): 1-18, 1990.
    • (1990) SIAM News , vol.23 , Issue.5 , pp. 1-18
    • Mangasarian, O.L.1    Wolberg, W.H.2
  • 15
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors Cambridge, MA MIT Press
    • J. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 185-208, Cambridge, MA, 1999. MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 16
    • 84898965722 scopus 로고    scopus 로고
    • Multiplicative updates for classification by mixture models
    • T. G. Dietterich, S. Becker, and Z. Ghahramani, editors Cambridge, MA MIT Press
    • L. K. Saul and D. D. Lee. Multiplicative updates for classification by mixture models. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural and Information Processing Systems, Volume 14, Cambridge, MA, 2002. MIT Press.
    • (2002) Advances in Neural and Information Processing Systems , vol.14
    • Saul, L.K.1    Lee, D.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.