||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 in 2003
January 27, 1928|
New York City, USA
|Died||July 5, 2005
Berkeley, California, USA
|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.
- Leo Breiman obituary, from the University of California, Berkeley
- Richard Olshen "A Conversation with Leo Breiman," Statistical Science Volume 16, Issue 2, 2001
- 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
- Breiman, L. (2001). "Statistical Modeling: the Two Cultures". Statistical Science 16 (3): 199–215. doi:10.1214/ss/1009213725. JSTOR 2676681.
|This article about a statistician from the United States is a stub. You can help Wikipedia by expanding it.|