Yoav Freund
| Yoav Freund | |
|---|---|
| Fields | Computer Science |
| Institutions | University of California, San Diego |
| Alma mater | University of California, Santa Cruz |
| Thesis | Data filtering and distribution modeling algorithms for machine learning (1993) |
| Doctoral advisor | Manfred K. Warmuth, David Haussler |
| Known for | AdaBoost |
| Notable awards | Gödel prize (2003) |
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. 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. He received the Gödel prize in 2003 for his work on AdaBoost with Robert Schapire.
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
External links
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