 | This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. (February 2013) |
Leo Breiman | |
|---|---|
 Leo Breiman in 2003 | |
| Born | January 27, 1928 New York City, U.S. |
| Died | July 5, 2005 (aged 77) Berkeley, California, U.S. |
| Alma mater | University of California, Berkeley |
| Known for | CART, Bagging, Random forest |
| Scientific career | |
| Fields | Statistics |
| Institutions | University of California, Berkeley |
| Thesis | Homogeneous Processes (1954) |
| Doctoral advisor | Michel Loève |
| Doctoral students | Adele Cutler |
Leo Breiman (January 27, 1928 – July 5, 2005) was a statistician at the University of California, Berkeley. He was the recipient of numerous honors and awards,[citation needed] and was a member of the United States National Academy of Sciences.
Breiman's work helped to bridge the gap between statistics and computer science, particularly in the field of machine learning. His most important contributions were his work on classification and regression trees and ensembles of trees fit to bootstrap samples. Bootstrap aggregation was given the name bagging by Breiman. Another of Breiman's ensemble approaches is the random forest.