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Leo Breiman (Professor Emeritus) is is a member of the National Academy of Sciences. His current research interests are in computationally intensive multivariate analysis including the use of nonlinear methods for pattern recognition and prediction in high dimensional spaces. He is a co-author of Classification and Regression Trees and he has developed decision trees as computationally efficient alternatives to neural nets. This work has applications in speech and optical character recognition. He is the author of the textbooks Probability and Stochastic Processes with a View Toward Applications, Statistics with a View Toward Applications, and Probability. 字串6
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Recent Papers
Some recent papers are available by FTP. 字串1
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WALD Lectures
Three pdf files are available from the WALD lectures, presented at the 277th meeting of the Institute of Mathematical Statistics, held in Banff, Alberta, Canada (July 28 to July 31, 2002). 字串1
Machine Learning
Looking Inside the Black Box
Software for the Masses
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Software Projects
 Random Forests - updated March 3, 2004
Survival Forests
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