Support Vector Machines
Introductory Texts
- Corinna Cortes, Vladimir Vapnik,
"Support-Vector Networks", Machine Learning, 20, pp.273-297 (1995)
- Christopher J.C. Burges,
"A Tutorial on Support Vector Machines for Pattern Recognition",
19/Nov/1996. a draft to Data Mining and Knowlledge Discovery
[original]
- M.O. Stitson, J.A.E. Weston, A Gammerman, V.Vork, V. Vapnik,
"Theory of Support Vector Machines",
Technical Report CSD-TR-96-17, Department of Computer Science,
Royal Holloway College, University of London,
Dec. 1996
[original]
- M.O. Stitson, J.A.E. Weston,
"Implementation Issues of Support Vector Machines",
Technical Report CSD-TR-96-18, Department of Computer Science,
Royal Holloway College, University of London,
Feb. 1997
[original]
- M.O. Stitson, J.A.E. Weston, A Gammerman, V.Vork, V. Vapnik,
"Experiments with Support Vector Machines",
Technical Report CSD-TR-96-19, Department of Computer Science,
Royal Holloway College, University of London,
Dec. 1996.
[original]
- Steve Gunn,
"Support Vector Machiens for Classification and Regression",
ISIS Technical Report ISIS-1-98, Image Speech & Intelligent
Systems Research Group, University of Southapton,
May. 1998
[original]
- M. A. Hearst, B. Schölkopf, S. Dumais, E. Osuna, and J. Platt. Trends
and controversies - support vector machines. IEEE Intelligent Systems,
13(4):18-28, 1998.
[original]
- 高須 淳宏、"Support Vector Machine による分類"、
森下、宮野 編: bit別冊 "発見科学とデータマイニング"、
pp.118-127、共立出版、May, 2000.
- 津田 宏治、
"サポートベクターマシンとは何か"、
電子情報通信学会誌、 Vol.83, No.6, pp.460-466, Jun. 2000.
- 赤穂 昭太郎、津田 宏治、"サポートベクターマシン"、
数理科学、No.444, pp.52-58, June 2000.
Books
- Vladimir N. Vapnik, "The Nature of Statistical Learning Theory",
ISBN 0-387-94559-8, Springer-Verlag, 1995. (out of print)
- Vladimir N. Vapnik, "Statistical Learning Theory",
ISBN 0-4761-03003-1, John Wiley & Sons, 1998.
- Bernhard Scholkopf and Christopher J.C Burges and Alexander
J. Smola eds., "Advances in Kernel Methods", ISBN 0-262-19416-3, The
MIT-Press, 1998.
- Nello Cristianini and John Shawe-Taylor,
"An Introduction to
Support Vector Machines and ohter kernel-based learning methods",
ISBN 0-521-78019-5, Cambridge University Press, 2000.
- A.J. Smola, P. Bartlett, B. Schoelkopf, and D. Schuurmans Editors,
"Advances in Large Margin Classfiers", MIT Press, 2000.
- Vojislav Kecman,
"Learning and Soft Computing", ISBN 0-262-11255-8, MIT Press, 2001.
- Trevor Hastie and Robert Tibshirani and Jeronme Friedman,
"The Elements of Statistical Learning", ISBN 0-387-95284-5, Springer, 2001.
Last modifed: 21/Jan/2003 by sim