| Yoav Freund | |
|---|---|
| Fields | Computer Science |
| Institutions | University of California, San Diego |
| Alma mater | University of California, Santa Cruz |
| Doctoral advisor | Manfred K. Warmuth, David Haussler |
| Known for | AdaBoost |
| Notable awards | Gödel prize (2003) |
Yoav Freund is a researcher and professor at the University of California, San Diego who mainly works on machine learning, probability theory and related fields and applications.
From his homepage:
My main area of research is computational learning theory and the related areas in probability theory, information theory, statistics and pattern recognition. I work on applications of machine learning algorithms in bio-informatics, computer vision, network routing and high-performance computing.
He is probably best-known for his work on the AdaBoost algorithm, a meta-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.
Professor Freund is a Talpiot program graduate.
|
|||||
|
|||||