Overview
Vladimir N. Vapnik is a statistician and computer scientist (formerly Institute of Control Sciences, Moscow; AT&T Bell Labs; NEC; Columbia; Facebook AI), a founder of statistical learning theory and co-inventor of the support vector machine.
Key Contributions / Features
- Support vector machines (Boser-Guyon-Vapnik 1992; soft-margin with Cortes 1995): the maximum-margin, kernel-based classifier (Support Vector Machine).
- Vapnik-Chervonenkis (VC) theory: the VC dimension and the theory of capacity/structural risk minimization underpinning generalization bounds in machine learning.
- Author of The Nature of Statistical Learning Theory and Statistical Learning Theory.
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