Biography:Yoav Freund
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Short description: American computer scientist
Yoav Freund | |
|---|---|
 Freund in 2018 | |
| Born | 1961 |
| Alma mater | The Hebrew University of Jerusalem, 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; born 1961) 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 and Robert Schapire received the Gödel prize in 2003 for their joint work on AdaBoost.
He is an alumnus of the prestigious Talpiot program of the Israeli army.[citation needed] He was elected an AAAI Fellow in 2008.[3]
Selected works
- Robert Schapire; Yoav Freund (2012). Boosting: Foundations and Algorithms. MIT. ISBN 978-0-262-01718-3.
References
- ↑ "Yoav Freund's Home Page". https://cseweb.ucsd.edu/~yfreund/.
- ↑ Freund, Yoav; Schapire, Robert E. (1996-07-03). Experiments with a new boosting algorithm. Morgan Kaufmann Publishers Inc.. pp. 148–156. ISBN 978-1558604193. http://dl.acm.org/citation.cfm?id=3091696.3091715.
- ↑ "Elected AAAI Fellows" (in en-US). https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/.
External links
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