Support Vector Machines
 SVM Reviews
 SVM Books
 SVM Software
 Pattern Recognition
 Optimum Hyperplane
 SVM Regression
 SVM Statistics
 Machine Learning
 UCI Repository
 List 1
 List 2
 List 3
SVM - Support Vector Machines

  1. V. Vapnik and A. Chervonenkis, Theory of Pattern Recognition, Nauka, Moscow, 1974.
  2. V. Vapnik, Estimation of Dependencies Based on Empirical Data, Nauka, Moscow, 1979.
  3. V. Vapnik, The Nature of Statistical Learning Theory, Springer, 1995.
  4. V. Vapnik, Statistical Learning Theory, Wiley-Interscience, New York, 1998.
  5. B. Schölkopf, C. J. C. Burges, and A. J. Smola, Advances in Kernel Methods: Support Vector Learning, MIT Press, Cambridge, MA, 1999.
  6. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines, Cambridge University Press, Cambridge, 2000.
  7. A. J. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, Advances in Large Margin Classifiers, MIT Press, Cambridge, MA, 2000.
  8. V. Kecman, Learning and Soft Computing, MIT Press, Cambridge, MA, 2001.
  9. B. Schölkopf and A. J. Smola, Learning with Kernels, MIT Press, Cambridge, MA, 2002.
  10. T. Joachims, Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms, Kluwer, 2002.
  11. R. Herbrich, Learning Kernel Classifiers, MIT Press, Cambridge, MA, 2002.
  12. J. A. K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, and J. Vandewalle, Least Squares Support Vector Machines, World Scientific, Singapore, 2002.
  13. J. Shawe-Taylor and N. Cristianini, Kernel Methods for Pattern Analysis, Cambridge University Press, Cambridge, 2004.
 Search "SVM" in:
 PubMed Central
 Google Scholar
 BioChem Press
 Search "Support Vector" in:
 PubMed Central
 Google Scholar
 BioChem Press
 Nucleic Acids Research
 BioMed Central
 Literature Databases
 PubMed Central
 Search Engines

The "SVM - Support Vector Machines" Portal is part of the OIRI network
All rights reserved - Copyright © 2005 Ovidiu Ivanciuc