( en | de | ru )

 

Disambiguation of "Vapnik, V."

Author of the publication

copydeleteadd this publication to your clipboard
Bounds on error expectation for SVM

, and . Advances in Large Margin Classifiers, page 261-280. Cambridge, MA, MIT Press, (2000)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

V Saile

V Geoffroy

V Ustinov

V Adams

V Fendrich

 

Other publications of authors with the same name

Structural Risk Minimization for Character Recognition, , , , and . Advances in Neural Information Processing Systems 4, page 471--479. Morgan Kaufmann, (1992)Incorporating Invariances in Support Vector Learning Machines, , and . Artificial Neural Networks --- ICANN'96, page 47~-~52. Berlin, Springer Lecture Notes in Computer Science, Vol.~1112, (1996)Comparing support vector machines with Gaussian kernels to radial basis function classifiers, , , , , , and . Signal Processing, IEEE Transactions on, 45 (11): 2758-2765 (November 1997)Three fundamental concepts of the capacity of learning machines. Physica A: Statistical and Theoretical Physics, 200 (1-4): 538--544 (Nov 15, 1993)Estimation of Dependences Based on Empirical Data. Springer-Verlag, (1982)Comparision of classifier methods: A case study in handwriting digit recognition, , , , , , , , , and . Proceedings of the International Conference on Pattern Recognition, (1994)Support-vector network, and . Machine Learning, (1995)Predicting time series with support vector machines, , , , , and . Proceedings of the Seventh International Conference on Artificial Neural Networks: ICANN-97, page 999--1004. Springer-Verlag, (1997)Principles of Risk Minimization for Learning Theory. Advances in Neural Information Processing Systems 4, page 831--838. Morgan Kaufmann, (1992)Predicting Time Series with Support Vector Machines, , , , , and . Advances in Kernel Methods --- Support Vector Learning, page 243--254. Cambridge, MA, MIT Press, (1999)Short version appeared in ICANN'97, Springer Lecture Notes in Computer Science.