Leo Breiman | |
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Leo Breiman in 2003
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Born |
New York City, United States |
January 27, 1928
Died | July 5, 2005 Berkeley, California, United States |
(aged 77)
Nationality | USA |
Fields | Statistics |
Institutions | University of California, Berkeley |
Alma mater | University of California, Berkeley |
Thesis | Homogeneous Processes (1954) |
Doctoral advisor | Michel Loève |
Doctoral students | Smarajit Bose, Samuel Buttrey, Chao Chen, Adele Cutler, Robert Koyak, Nong Shang |
Known for | CART, Bagging, Random forest |
Leo Breiman (January 27, 1928 – July 5, 2005) was a distinguished statistician at the University of California, Berkeley. He was the recipient of numerous honors and awards, and was a member of the United States National Academy of Science.
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.