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Gérard Biau, Paris 6 Print
Friday, 03 October 2008, 14:30 - 15:30

Consistency of Random Forests and other Averaging Classifiers

Gérard Biau, Université Pierre et Marie Curies, Paris 6


In the last years of his life, Leo Breiman promoted random forests for use in regression and classification. He suggested using averaging as a means of obtaining good rules. The base learners used for averaging are simple and randomized, often based on random samples from the data. He left a few questions unanswered regarding the consistency of such predictors. In this talk, we give a number of theorems that establish the universal consistency of averaging rules.

Location: Campus Plaine bat NO salle des prof
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