Robert Schapire

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Robert Elias Schapire (born December 15, 1963 ) is an American computer scientist who deals with machine learning . He is a professor at Princeton University .

He received his PhD in 1991 from Ronald Rivest at the Massachusetts Institute of Technology (The design and analysis of efficient learning algorithms).

He developed the first algorithms of the boosting type in 1990 (and with it answered a problem by Leslie Valiant and M. Kearns (1988) whether the class of weak learning algorithms is equivalent to the strong learning algorithms) and in 1995 AdaBoost (Adaptive Boost) with Yoav Freund . In 2004 he and Yoav Freund received the Paris Kanellakis Prize and in 2003 the Gödel Prize for AdaBoost.

In 2016, Schapire was elected to the National Academy of Sciences .

Fonts

  • The strength of weak learnability, Machine Learning, 5, 1990, 197-227
  • The design and analysis of efficient learning algorithms, MIT Press 1992
  • with Yoav Freund: Boosting: foundations and algorithms, MIT Press 2012

Web links

Individual evidence

  1. ↑ Robert Schapire in the Mathematics Genealogy Project (English)Template: MathGenealogyProject / Maintenance / id used
  2. ↑ Freund, Schapire A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting , Proc. 2. European Conf. Comput. Learning Theory, 1995, pp. 23-37
personal data
SURNAME Schapire, Robert
ALTERNATIVE NAMES Schapire, Robert Elias (full name)
BRIEF DESCRIPTION American computer scientist
DATE OF BIRTH December 15, 1963