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Vladimir Vapnik

Inventor b. 1936

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Vladimir Vapnik is a Russian-American mathematician whose work helped establish statistical learning theory, including the Vapnik–Chervonenkis framework for analyzing learning systems. He co-invented support vector machines, a foundational machine-learning method for classification and pattern recognition. Vapnik held research and academic positions at Moscow’s Institute of Control Sciences, AT&T Bell Laboratories, NEC Laboratories, Royal Holloway, and Columbia University.

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