Leo Breiman
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.
Leo Breiman | |
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Leo Breiman in 2003 | |
Born | New York City, United States | January 27, 1928
Died | July 5, 2005 77) Berkeley, California, United States | (aged
Nationality | American |
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 |
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.
See also
Further reading
- Leo Breiman obituary, from the University of California, Berkeley
- Richard Olshen "A Conversation with Leo Breiman," Statistical Science Volume 16, Issue 2, 2001
- Breiman, L. (2001). "Statistical Modeling: the Two Cultures". Statistical Science. 16 (3): 199–215. doi:10.1214/ss/1009213725. JSTOR 2676681.
External links
- Leo Breiman at the Mathematics Genealogy Project
- Leo Breiman from PORTRAITS OF STATISTICIANS
- A video record of a Leo Breiman's lecture about one of his machine learning techniques
- Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
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