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From Wikipedia, the free encyclopedia
Leo Breiman
Leo Breiman in 2003
Born(1928-01-27)January 27, 1928
DiedJuly 5, 2005(2005-07-05) (aged 77)
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 distinguished 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.

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.

Random Forests

External links


From Wikipedia, the free encyclopedia
Leo Breiman
Leo Breiman in 2003
Born(1928-01-27)January 27, 1928
DiedJuly 5, 2005(2005-07-05) (aged 77)
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 distinguished 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.

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.

Random Forests

External links



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