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. 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". 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.
- ↑ "Elected AAAI Fellows". AAAI. Retrieved 2024-01-06.
External links
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