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.

Software

• SVMTorch : A Support Vector Machine for Large-Scale Regression and Classification Problems by Ronan Collobert
  
• Torch: A machine learning library including MLP, SVM, HMM and so on.
  
• Platt's SMO coded by Xianping Ge of ics.ucs.edu
  
• SVM-light : a C program written by Thorsten Joachims@uni-dortmund.de
• MATLAB Support Vector Machine Toolbox by Dr Gavin Cawley, School of Information Systems, University of East Anglia
  
• 2D-SVM in MATLAB (main-routine) , (sub-routine)

References locally available in Mad-Lab

Links for Support Vector Machines

• Kernel Machine Website (a new gateway to SVM and relating areas)
• SVM relating books, software links
• SVM Application List
• Bell Laboratories SVM page (demonstration available)
• German National Research Center for Information Technology
• B. Schölkopf's home page.
• Royal Holloway College, University of London SVM page
• Patern Recognition group of Delft University