Vladimir Vapnik and Corinna Cortes formalize Support Vector Machines based on statistical learning theory. Utilizing the kernel trick for empirical risk minimization, their mathematical framework dominates the AI discipline for over a decade.
Part of the 29 Structural Foundations: The Internet Era, Big Data, and Deep Learning Explosion Edition archive. HistoricallyVerified
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