2017 IEEE Honors: IEEE John Von Neumann Medal - Vladimir Vapnik

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Vladimir Vapnik, a member of the U.S. National Academy of Engineering, is being recognized for the development of statistical learning theory, the theoretic foundation for machine learning, and support vector machines. In the field of machine learning, Vapnik is considered a living legend who shaped the way modern researches address its challenges, and how it is practiced everyday in applications such as Google and Facebook.           

View the official program link for more details http://online.qmags.com/IEEEAwards17?pg=9&mode=2#pg17&mode2

Read more about the IEEE Honors Ceremony at https://www.ieee.org/about/awards/honors_ceremony.html

Vladimir Vapnik, a member of the U.S. National Academy of Engineering, is being recognized for the development of statistical learning theory, the theoretic foundation for machine learning, and support vector machines. In the field of machine learning, Vapnik is considered a living legend who shaped the way modern researches address its challenges.

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