Bagging, boosting and ensemble methods

Peter Bühlmann

No 2004,31, Papers from Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE)

Abstract: Ensemble methods aim at improving the predictive performance of a given statistical learning or model fitting technique. The general principleof ensemble methods is to construct a linear combinationof some model fitting methods, instead of using a single fit of the method.

Date: 2004
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