Vapnik, Vladimir

Support-vector networks

Cortes, C., & Vapnik, V. (1995) · Machine Learning

Machine Learning and AlgorithmsNeural Networks and Applications

Cited by 59,421

The Nature of Statistical Learning Theory

Vapnik, V. N. (1995) · Springer eBooks

Machine Learning and AlgorithmsStochastic Gradient Optimization Techniques

Cited by 39,138

A training algorithm for optimal margin classifiers

Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992) · Proceedings of the fifth annual workshop on Computational learning theory

Machine Learning and AlgorithmsNeural Networks and Applications

Cited by 11,992

Gene selection for cancer classification using support vector machines

Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002) · Machine Learning

Gene expression and cancer classificationBreast Cancer Treatment Studies

Cited by 9,954

On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

Vapnik, V. N., & Chervonenkis, A. Y. (1971) · Theory of Probability & Its Applications

Probability and Statistical ResearchStochastic processes and statistical mechanics

Cited by 2,448

A new learning paradigm: Learning using privileged information

Vapnik, V., & Vashist, A. (2009) · Neural Networks

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 774

Local Learning Algorithms

Bottou, L., & Vapnik, V. (1992) · Neural Computation

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 542

Measuring the VC-Dimension of a Learning Machine

Vapnik, V., Levin, E., & Cun, Y. L. (1994) · Neural Computation

Machine Learning and AlgorithmsNeural Networks and Applications

Cited by 388

Boosting and Other Ensemble Methods

Drucker, H., Cortes, C., Jackel, L. D., LeCun, Y., & Vapnik, V. (1994) · Neural Computation

Neural Networks and ApplicationsMachine Learning and Algorithms

Cited by 357

Unifying distillation and privileged information

Lopez-Paz, D., Bottou, L., Schölkopf, B., & Vapnik, V. (2015) · arXiv

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 270