| The Nature of Statistical Learning Theory V Vapnik Data mining and knowledge discovery, 1995 | 77115* | 1995 |
| Support-Vector Networks C Cortes Machine Learning, 1995 | 72637 | 1995 |
| Statistical learning theory V Vapnik John Wiley & Sons google schola 2, 831-842, 1998 | 43761 | 1998 |
| 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 | 18322 | 1989 |
| A training algorithm for optimal margin classifiers BE Boser, IM Guyon, VN Vapnik Proceedings of the fifth annual workshop on Computational learning theory …, 1992 | 18185 | 1992 |
| Gene selection for cancer classification using support vector machines I Guyon, J Weston, S Barnhill, V Vapnik Machine learning 46, 389-422, 2002 | 12363 | 2002 |
| Support vector regression machines H Drucker, CJ Burges, L Kaufman, A Smola, V Vapnik Advances in neural information processing systems 9, 1996 | 7258 | 1996 |
| Estimation of dependences based on empirical data V Vapnik Springer Science & Business Media, 2006 | 5879 | 2006 |
| On the uniform convergence of relative frequencies of events to their probabilities VN Vapnik, AY Chervonenkis Measures of complexity: festschrift for alexey chervonenkis, 11-30, 2015 | 5668 | 2015 |
| Support vector method for function approximation, regression estimation and signal processing V Vapnik, S Golowich, A Smola Advances in neural information processing systems 9, 1996 | 4667 | 1996 |
| Choosing multiple parameters for support vector machines O Chapelle, V Vapnik, O Bousquet, S Mukherjee Machine learning 46, 131-159, 2002 | 3524 | 2002 |
| Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework J Derrac, S Garcia, L Sanchez, F Herrera J. Mult. Valued Logic Soft Comput 17, 255-287, 2015 | 3029 | 2015 |
| Support vector machines for histogram-based image classification O Chapelle, P Haffner, VN Vapnik IEEE transactions on Neural Networks 10 (5), 1055-1064, 1999 | 2354 | 1999 |
| Support vector machines for spam categorization H Drucker, D Wu, VN Vapnik IEEE Transactions on Neural networks 10 (5), 1048-1054, 1999 | 2220 | 1999 |
| Support vector clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Journal of machine learning research 2 (Dec), 125-137, 2001 | 2202 | 2001 |
| Pattern recognition using generalized portrait method VN Vapnik Automation and remote control 24 (6), 774-780, 1963 | 2021 | 1963 |
| 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 | 1923 | 1997 |
| Support vector machine C Cortes, V Vapnik Machine learning 20 (3), 273-297, 1995 | 1597 | 1995 |
| Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik Advances in neural information processing systems 13, 2000 | 1579 | 2000 |
| Principles of risk minimization for learning theory V Vapnik Advances in neural information processing systems 4, 1991 | 1509 | 1991 |
Corinna CortesGoogle Research, NYVerificeret mail på google.com