Robert Schapire
Robert Elias Schapire | |
|---|---|
| Alma mater | Brown University Massachusetts Institute of Technology |
| Known for | AdaBoost |
| Awards | Gödel Prize (2003) Paris Kanellakis Award (2004) |
| Scientific career | |
| Fields | Computer science |
| Institutions | Microsoft Research AT&T Labs Princeton University |
| Thesis | The design and analysis of efficient learning algorithms (1991) |
| Doctoral advisor | Ronald Rivest |
| Website | http://rob.schapire.net/ |
Robert Elias Schapire is an American computer scientist renowned for his contributions to machine learning theory and its applications. He was formerly a computer science professor at Princeton University before joining Microsoft Research. His research focuses on theoretical and applied machine learning, with particular emphasis on ensemble learning.