Back يوآف فرويند ARZ Yoav Freund German Yoav Freund French יואב פרוינד HE Yoav Freund Malagasy 約阿夫·弗羅因德 Chinese
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 an alumnus of the prestigious Talpiot program of the Israeli army.
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.[3] In 2004 he was awarded the Paris Kanellakis Award.[4] He was elected an AAAI Fellow in 2008.[5]
- ^ "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.
- ^ "Gödel Prize - 2003". European Association for Theoretical Computer Science (EATCS).
- ^ "ACM: Press Release, March 1, 2005". www.cs.utexas.edu. Retrieved 2024-04-24.
- ^ "Elected AAAI Fellows". AAAI. Retrieved 2024-01-06.