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Pioneer

Vladimir Vapnik

Also Known As Vladimir Naumovich Vapnik
Computing Methodologies

Vladimir Naumovich Vapnik is a statistician, researcher, and academic. He is one of the main developers of the Vapnik-Chervonenkis theory of statistical learning and the co-inventor of the support-vector machine method and support-vector clustering algorithms. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/

Facts
Birth Year
1936 1
Birth Date
1936-12-06 1
Award
International Dennis Gabor Award 2
Award
Paris Kanellakis Award 2
Award
IEEE Neural Networks Pioneer Award 2
Award
Kampé de Fériet Award 2
Award
IEEE Frank Rosenblatt Award 2
Award
IEEE John von Neumann Medal 2
Award
Benjamin Franklin Medal 2
Contribution Kind
Algorithm 1
Highest Honour
Kolmogorov Award 1
Connections

Associated With

Computational Learning Theory, Fields

In Field

Machine Learning, Fields
Source Wikipedia: Vladimir Vapnik

Invented

Support Vector Machine, Concepts

Vladimir Vapnik co-developed the soft-margin support vector machine with Corinna Cortes, published in their 1995 paper.

Long-Form Articles

From a Moscow institute to Bell Labs: the career behind the support-vector machine, Articles
In the Other Atlases

Nationality

Russia

Also in Geography Atlas: the nationality of this subject.

United States

Also in Geography Atlas: the nationality of this subject.

Sources
1. Wikipedia: Vladimir Vapnik
Wikimedia Foundation
  • Lead section
    Vladimir Naumovich Vapnik (Russian: Владимир Наумович Вапник; born 6 December 1936) is a statistician, researcher, and academic. He is one of the main developers of the Vapnik-Chervonenkis theory of statistical learning and the co-inventor of the support-vector machine method and support-vector clustering algorithms.
  • Infobox, Born
    6 December 1936
  • Lead paragraph, contribution kind
    He is one of the main developers of the Vapnik-Chervonenkis theory of statistical learning and the co-inventor of the support-vector machine method and support-vector clustering algorithms.
  • Infobox: awards
    Kolmogorov Medal (2018) IEEE John von Neumann Medal (2017) Kampé de Fériet Award (2014) C&C Prize (2013) Benjamin Franklin Medal (2012) IEEE Frank Rosenblatt Award (2012) IEEE Neural Networks Pioneer Award (2010) Paris Kanellakis Award (2008) Fellow of the U.S. National Academy of Engineering (2006) Gabor Award, International Neural Network Society (2005) Alexander Humboldt Research Award (2003)
  • In Field: Machine Learning, Lead paragraph
View the Source
2. Wikidata: Vladimir Vapnik
Wikidata Q983367, class allow-list match (w-wdresolver-0926)View the Source
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