모멘트를 이용한 Support Vector Machines의 학습성능개선

Improving the Training Performance of Support Vector Machines Using Momentum

  • 조용현 (대구효성카톨릭대학교 컴퓨터정보통신공학부)
  • 발행 : 2000.05.01

초록

키워드

참고문헌

  1. V. Vanpnik, The Nature of Statistical Learning Theory, Springer Vergag, 1995
  2. M.O. Stitson, J.A.E. Weston, A. Gamrnerman, V. Vovk, and V. Vapnik, 'Theory of Support Vector Machines,' Technical report CSD-TR-96-17, Royal Holloway, Univ. of London, May 1998
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  5. E.E. Osuna, R. Freund, and F. Girosi, 'An Improved Training Algorithm for Support Vector Machines,' Proc. of IEEE NNSP'97, New York, Sep. 1997
  6. J.C. Platt, 'Fast Training of Support Vector Machines Using Sequential Minimal Optimization,' In Advances in Kernels Methods: Support Vector Learning, ed., MlT Press, Cambridge, 1998
  7. C. Cortes, and V. Vanpnik, 'Support Vector Networks,' Machine Learning, pp.273-297, 1995
  8. S. Haykin, Neural Networks: A Comprehensive Foundation, Pretice-Hall Inc., London, pp.318-349, 1999
  9. A. Cichocki, and R. Unbehauen, 'Neural Networks for Signal Optimization and Signal Processing,' John Wiley & Sons, New York, 1992
  10. W. H. Walberg, 'Wisconsin Breast Cancer Database,' Univ. of Wisconsin Hospital, July 1992(ftp://mlftp.diee.unica.itlpub/mac...sin/breast-cancer-wisconsin.data)