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publications

(111)

• Statistical Learning Theory
  V. Vapnik (1998)
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• Support Vector Machines for Spam Categorization
  H. Drucker and D. Wu and V. Vapnik IEEE Transactions on Neural Networks 10 (1999)
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• Support Vector Networks
  C. Cortes and V. Vapnik Machine Learning 20 273-297 (1995)
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• Support vector regression machines
  H. Drucker and C. J. C. Burges and L. Kaufman and A. Smola and V. Vapnik Advances in Neural Information Processing Systems (1997)
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• An Overview of Statistical Learning Theory
  V. N. Vapnik IEEE Transaction on Neural Networks (1999)
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• Transductive Inference for estimating values of functions
  O. Chapelle and V. Vapnik and J. Weston Advances in Neural Information Processing Systems (1999)
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• A training algorithm for optimal margin classifiers
  B. E. Boser and I. M. Guyon and V. N. Vapnik Proceedings of the Workshop on Computational Learning Theory (1992)
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• Comparision of classifier methods: A case study in handwriting digit recognition
  L. Bouttou and C. Cortes and J. Denker and I. Guyon H. Drucker and L. Jackel and Y. le Cun and U. Muller and E. Sackinger and P. Simard and V. Vapnik Proceedings of the International Conference on Pattern Recognition (1994)
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• Extracting support data for a given task
  B. Sch\"olkopf and C. Burges and V. Vapnik Proceedings of the International Conference on Knowledge Discovery and Data Mining (1995)
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• On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
  V. N. Vapnik and A. Chervonenkis Theory of Probability and Its Applications 16 264-280 (1971)
  to nnets by brian.mingus and 3 other people on 2008-09-16 23:39:07
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