Professor of Columbia, Fellow of NEC Labs America,
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TitleCited byYear
The Nature of Statistical Learning Theory
V Vapnik
Data mining and knowledge discovery, 1995
Support-vector networks
C Cortes, V Vapnik
Machine learning 20 (3), 273-297, 1995
A training algorithm for optimal margin classifiers
BE Boser, IM Guyon, VN Vapnik
Proceedings of the fifth annual workshop on Computational learning theory …, 1992
Gene selection for cancer classification using support vector machines
I Guyon, J Weston, S Barnhill, V Vapnik
Machine learning 46 (1-3), 389-422, 2002
Estimation of dependences based on empirical data
V Vapnik
Springer Science & Business Media, 2006
On the uniform convergence of relative frequencies of events to their probabilities
VN Vapnik, AY Chervonenkis
Measures of complexity, 11-30, 2015
Support vector regression machines
H Drucker, CJC Burges, L Kaufman, AJ Smola, V Vapnik
Advances in neural information processing systems, 155-161, 1997
Support vector method for function approximation, regression estimation and signal processing
V Vapnik, SE Golowich, AJ Smola
Advances in neural information processing systems, 281-287, 1997
Choosing multiple parameters for support vector machines
O Chapelle, V Vapnik, O Bousquet, S Mukherjee
Machine learning 46 (1-3), 131-159, 2002
Support vector machines for histogram-based image classification
O Chapelle, P Haffner, VN Vapnik
IEEE transactions on Neural Networks 10 (5), 1055-1064, 1999
Support vector machines for spam categorization
H Drucker, D Wu, VN Vapnik
IEEE Transactions on Neural networks 10 (5), 1048-1054, 1999
Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework.
J Alcalá-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, ...
Journal of Multiple-Valued Logic & Soft Computing 17, 2011
Support vector clustering
A Ben-Hur, D Horn, HT Siegelmann, V Vapnik
Journal of machine learning research 2 (Dec), 125-137, 2001
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
B Scholkopf, KK Sung, CJC Burges, F Girosi, P Niyogi, T Poggio, ...
IEEE transactions on Signal Processing 45 (11), 2758-2765, 1997
Feature selection for SVMs
J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik
Advances in neural information processing systems, 668-674, 2001
Pattern recognition using generalized portrait method
V Vapnik
Automation and remote control 24, 774-780, 1963
Predicting time series with support vector machines
KR Müller, AJ Smola, G Rätsch, B Schölkopf, J Kohlmorgen, V Vapnik
International Conference on Artificial Neural Networks, 999-1004, 1997
Theory of pattern recognition
V Vapnik, A Chervonenkis
Nauka, Moscow, 1974
Support vector machine
C Cortes, V Vapnik
Machine learning 20 (3), 273-297, 1995
Comparison of classifier methods: a case study in handwritten digit recognition
L Bottou, C Cortes, JS Denker, H Drucker, I Guyon, LD Jackel, Y LeCun, ...
Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994
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