Vladimir N. Vapnik
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Vladimir N. Vapnik is a person.
- See: Support Vector Machine, Statistical Learning Theory, Empirical Inference, Empirical Risk Minimization.
Referebces
2008
- (Vapnik, 2008) ⇒ Vladimir N. Vapnik. (2008). “[http://www.learningtheory.org/index.php?view=article&id=9%7CCOLT interview - Vladimir Vapnik." http://www.learningtheory.org/
- QUOTE: My current research interest is to develop advanced models of empirical inference. I think that the problem of machine learning is not just a technical problem. It is a general problem of philosophy of empirical inference. One of the ways for inference is induction. The main philosophy of inference developed in the past strongly connected the empirical inference to the inductive learning process. I believe that induction is a rather restrictive model of learning and I am trying to develop more advanced models. First, I am trying to develop non-inductive methods of inference, such as transductive inference, selective inference, and many other options. Second, I am trying to introduce non-classical ways of inference.
2000
- (Vapnik, 2000) ⇒ Vladimir N. Vapnik. (2000). “The Nature of Statistical Learning Theory (2nd Edition).” Springer. ISBN:0387987800
1998
- (Vapnik, 1998) ⇒ Vladimir N. Vapnik. (1998). “Statistical Learning Theory." John Wiley. ISBN:0471030031
1997
- (Scholkopf et al., 1997) ⇒ Bernhard Schölkopf, Kah-Kay Sung, Christopher JC Burges, Federico Girosi, Partha Niyogi, Tomaso Poggio, and Vladimir Vapnik. (1997). “Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers.” In: IEEE Transactions on Signal Processing, 45(11).
1995
- (Cortes & Vapnik, 1995) ⇒ Corinna Cortes, and Vladimir N. Vapnik. (1995). “Support Vector Networks.” In: Machine Learning, 20(3).
- (Vapnik, 1995) ⇒ Vladimir N. Vapnik. (1995). “The Nature of Statistical Learning Theory.” Springer. ISBN:0387945598.
1994
- (Vapnik & Miller, 1994) ⇒ Vladimir N. Vapnik, and U. A. Miller. (1994). “Comparison of Classifier Methods: A case study in handwritten digit recognition.” In: Proceedings of 12th International Conference on Pattern Recognition and Neural Network.
1992
- (Boser et al., 1992) ⇒ Bernhard E. Boser, Isabelle M. Guyon, and Vladimir N. Vapnik. (1992). “A Training Algorithm for Optimal Margin Classifiers.” In: Proceedings of the Fifth Annual Workshop of Computational Learning Theory (COLT).
1982
- (Vapnik, 1982) ⇒ Vladimir N. Vapnik. (1982). “Estimation of Dependences Based on Empirical Data, Addendum 1.” Springer-Verlag.
1971
- (Vapnik & Chervonenkis, 1971) ⇒ Vladimir N. Vapnik, and A. Chervonenkis. (1971). “On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities.” Theory of Probability and Its Applications.