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The Formalization of Support Vector Machines (1992–1995)

    Vladimir Vapnik, Bernhard Boser, and Isabelle Guyon introduced a method for creating non-linear classifiers, standardizing the modern Support Vector Machine (SVM). Corinna Cortes and Vapnik published the foundational Support Vector Networks paper in 1995. This mathematical framework provided an incredibly robust, mathematically clean way to classify complex data, instantly dominating the machine learning landscape and surpassing neural networks for over a decade.

    Part of the 30 AI Roots Facts: The Dawn of Internet & Statistical Foundations (1990–1995) archive. HistoricallyVerified

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