Yoav Freund

Yoav Freund
Alma mater University of California, Santa Cruz
Known for AdaBoost
Awards Gödel prize (2003)
Scientific career
Fields Computer Science
Institutions University of California San Diego
Thesis Data filtering and distribution modeling algorithms for machine learning (1993)
Doctoral advisor Manfred K. Warmuth, David Haussler

Yoav Freund (Hebrew: יואב פרוינד‎) is an Israeli professor of computer science at the University of California San Diego who mainly works on machine learning, probability theory and related fields and applications.[1] He is best known for his work on the AdaBoost algorithm, an ensemble learning algorithm which is used to combine many "weak" learning machines to create a more robust one.[2] He received the Gödel prize in 2003 for his work on AdaBoost with Robert Schapire.[3]

He is an alumnus of the prestigious Talpiot program of the Israeli army.

Selected works

Books

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

See also

References

  1. ↑ "Yoav Freund's Home Page". cseweb.ucsd.edu. Retrieved 2018-05-05.
  2. ↑ Freund, Yoav; Schapire, Robert E. (1996-07-03). "Experiments with a new boosting algorithm". Morgan Kaufmann Publishers Inc.: 148–156. ISBN 1558604197.
  3. ↑ "2003 Gödel Prize". www.sigact.org. Retrieved 2018-05-05.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.