| The Nature of Statistical Learning Theory V Vapnik Data mining and knowledge discovery, 1995 | 84005* | 1995 |
| Support-vector networks C Cortes, V Vapnik Machine learning 20 (3), 273-297, 1995 | 37305 | 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 | 11232 | 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 | 7488 | 2002 |
| Estimation of dependences based on empirical data V Vapnik Springer Science & Business Media, 2006 | 4618 | 2006 |
| On the uniform convergence of relative frequencies of events to their probabilities VN Vapnik, AY Chervonenkis Measures of complexity, 11-30, 2015 | 4132 | 2015 |
| 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 | 3083 | 1997 |
| Support vector regression machines H Drucker, CJC Burges, L Kaufman, AJ Smola, V Vapnik Advances in neural information processing systems, 155-161, 1997 | 3037 | 1997 |
| Choosing multiple parameters for support vector machines O Chapelle, V Vapnik, O Bousquet, S Mukherjee Machine learning 46 (1-3), 131-159, 2002 | 2929 | 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 | 1809 | 1999 |
| Support vector machines for spam categorization H Drucker, D Wu, VN Vapnik IEEE Transactions on Neural networks 10 (5), 1048-1054, 1999 | 1805 | 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 | 1555 | 2011 |
| Support vector clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Journal of machine learning research 2 (Dec), 125-137, 2001 | 1523 | 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 | 1388 | 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 | 1254 | 2001 |
| Pattern recognition using generalized portrait method V Vapnik Automation and remote control 24, 774-780, 1963 | 1214 | 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 | 1082 | 1997 |
| Theory of pattern recognition V Vapnik, A Chervonenkis Nauka, Moscow, 1974 | 1024 | 1974 |
| Support vector machine C Cortes, V Vapnik Machine learning 20 (3), 273-297, 1995 | 850 | 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, ... International conference on pattern recognition, 77-77, 1994 | 798 | 1994 |
Corinna CortesGoogle Research, NYDirección de correo verificada de google.com
