| The Nature of Statistical Learning Theory V Vapnik Data mining and knowledge discovery, 1995 | 95450* | 1995 |
| Support-vector networks C Cortes, V Vapnik Machine learning 20 (3), 273-297, 1995 | 50217 | 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 | 13789 | 1992 |
| Backpropagation applied to handwritten zip code recognition Y LeCun, B Boser, JS Denker, D Henderson, RE Howard, W Hubbard, ... Neural computation 1 (4), 541-551, 1989 | 9500 | 1989 |
| Gene selection for cancer classification using support vector machines I Guyon, J Weston, S Barnhill, V Vapnik Machine learning 46 (1), 389-422, 2002 | 9333 | 2002 |
| Estimation of dependences based on empirical data V Vapnik Springer Science & Business Media, 2006 | 5116 | 2006 |
| On the uniform convergence of relative frequencies of events to their probabilities VN Vapnik, AY Chervonenkis Measures of complexity, 11-30, 2015 | 4845 | 2015 |
| Support vector regression machines H Drucker, CJC Burges, L Kaufman, A Smola, V Vapnik Advances in neural information processing systems 9, 155-161, 1997 | 4539 | 1997 |
| Support vector method for function approximation, regression estimation, and signal processing V Vapnik, SE Golowich, A Smola Advances in neural information processing systems, 281-287, 1997 | 3717 | 1997 |
| Choosing multiple parameters for support vector machines O Chapelle, V Vapnik, O Bousquet, S Mukherjee Machine learning 46 (1), 131-159, 2002 | 3250 | 2002 |
| 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 | 2132 | 2011 |
| Support vector machines for histogram-based image classification O Chapelle, P Haffner, VN Vapnik IEEE transactions on Neural Networks 10 (5), 1055-1064, 1999 | 2042 | 1999 |
| Support vector machines for spam categorization H Drucker, D Wu, VN Vapnik IEEE Transactions on Neural networks 10 (5), 1048-1054, 1999 | 1983 | 1999 |
| Support vector clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Journal of machine learning research 2 (Dec), 125-137, 2001 | 1830 | 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 | 1630 | 1997 |
| Pattern recognition using generalized portrait method V Vapnik Automation and remote control 24, 774-780, 1963 | 1545 | 1963 |
| Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik Neural Information Processing Systems Foundation, 2000 | 1430 | 2000 |
| 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 | 1256 | 1997 |
| Theory of pattern recognition V Vapnik, A Chervonenkis Nauka, Moscow, 1974 | 1229 | 1974 |
| Support vector machine C Cortes, V Vapnik Machine learning 20 (3), 273-297, 1995 | 1151 | 1995 |
Corinna CortesGoogle Research, NYVerified email at google.com
