Wikipedia

Robert Schapire

Robert Elias Schapire
Alma materBrown University
Massachusetts Institute of Technology
Known forAdaBoost
AwardsGödel Prize (2003)
Paris Kanellakis Award (2004)
Scientific career
FieldsComputer science
InstitutionsMicrosoft Research
AT&T Labs
Princeton University
Thesis The design and analysis of efficient learning algorithms  (1991)
Doctoral advisorRonald Rivest
Websitehttp://rob.schapire.net/

Robert Elias Schapire is an American computer scientist renowned for his contributions to machine learning theory and its applications. He was formerly a computer science professor at Princeton University before joining Microsoft Research. His research focuses on theoretical and applied machine learning, with particular emphasis on ensemble learning.

Career

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Schapire's most significant contribution to computer science is the development of boosting, a fundamental ensemble learning algorithm that has revolutionized machine learning. His doctoral dissertation, The design and analysis of efficient learning algorithms, earned him the ACM Doctoral Dissertation Award in 1991.[1] In 1996, collaborating with Yoav Freund, he invented the AdaBoost algorithm, a breakthrough that led to their joint receipt of the Gödel Prize in 2003.

Schapire was elected an AAAI Fellow in 2009.[2] In 2014, he was elected a member of the National Academy of Engineering for his contributions to machine learning through the invention and development of boosting algorithms.[3] In 2016, he was elected to the National Academy of Sciences.[4]

Selected works

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Books

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  • Robert Schapire; Yoav Freund (2012). Boosting: Foundations and Algorithms. MIT. ISBN 978-0-262-01718-3.

References

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  1. ^ "Robert Schapire". Awards Home. Association for Computing Machinery. Retrieved 2021-01-23.
  2. ^ "Elected AAAI Fellows". AAAI. Retrieved 2024-01-06.
  3. ^ "FACULTY HONOR: Rexford and Schapire elected to National Academy of Engineering". Princeton University. Retrieved 2020-06-29.
  4. ^ National Academy of Sciences Members and Foreign Associates Elected, News from the National Academy of Sciences, National Academy of Sciences, 2016-05-06, archived from the original on 6 May 2016, retrieved 2016-05-14.
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