Yoav Freund
Yoav Freund | |
|---|---|
| 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]
Selected works[]
- Robert Schapire; Yoav Freund (2012). Boosting: Foundations and Algorithms. MIT. ISBN 978-0-262-01718-3.
See also[]
References[]
- ^ "Yoav Freund's Home Page". cseweb.ucsd.edu. Retrieved 2018-05-05.
- ^ Freund, Yoav; Schapire, Robert E. (1996-07-03). Experiments with a new boosting algorithm. Morgan Kaufmann Publishers Inc. pp. 148–156. ISBN 978-1558604193.
External links[]
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- American computer scientists
- Gödel Prize laureates
- University of California, San Diego faculty
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- 1961 births
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