| 词条 | Leo Breiman |
| 释义 |
| name = Leo Breiman | image = Leo_Breiman.jpg | image_size = 200px | caption = Leo Breiman in 2003 | birth_date = {{Birth date|1928|1|27}} | birth_place = New York City, United States | death_date = {{Death date and age|2005|7|5|1928|1|27}} | death_place = Berkeley, California, United States | nationality = American | field = Statistics | work_institutions = University of California, Berkeley | alma_mater = University of California, Berkeley | doctoral_advisor = Michel Loève | doctoral_students = | thesis_title = Homogeneous Processes | thesis_year = 1954 | thesis_url = http://oskicat.berkeley.edu/record=b12056407~S1 | known_for = CART, Bagging, Random forest | influences = | influenced = | prizes = | footnotes = }} 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. See also
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8 : 1928 births|2005 deaths|American statisticians|Fellows of the American Statistical Association|ISI highly cited researchers|Machine learning researchers|Members of the United States National Academy of Sciences|University of California, Berkeley faculty |
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