Robert Schapire
| Robert Elias Schapire | |
|---|---|
| Fields | Computer Science |
| Institutions |
Microsoft Research AT&T Labs Princeton University |
| Alma mater |
Brown University Massachusetts Institute of Technology |
| Thesis | The design and analysis of efficient learning algorithms (1991) |
| Doctoral advisor | Ronald Rivest |
| Known for | AdaBoost |
| Notable awards |
Gödel prize (2003) Paris Kanellakis Award (2004) |
|
Website http://rob.schapire.net/ | |
Robert Elias Schapire was the David M. Siegel '83 Professor in the computer science department at Princeton University and recently moved to Microsoft Research. His primary specialty is theoretical and applied machine learning.
His work led to the development of the boosting ensemble algorithm used in machine learning. Together with Yoav Freund, he invented the AdaBoost algorithm in 1996. He received the Gödel prize in 2003 for his work on AdaBoost with Yoav Freund.
In 2014, Schapire was elected to the National Academy of Engineering for his contributions to machine learning through the invention and development of boosting algorithms.[1] In 2016 he was elected to the National Academy of Sciences.[2]
References
- ↑ https://www.princeton.edu/main/news/archive/S39/17/99C25/
- ↑ National Academy of Sciences Members and Foreign Associates Elected, News from the National Academy of Sciences, National Academy of Sciences, May 3, 2016, retrieved 2016-05-14.
Selected works
Books
- Robert Schapire; Yoav Freund (2012). Boosting: Foundations and Algorithms. MIT. ISBN 978-0-262-01718-3.
External links
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