Bagging, Boosting and Ensemble Methods

  • Bühlmann P
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Abstract

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

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Bühlmann, P. (2012). Bagging, Boosting and Ensemble Methods. In Handbook of Computational Statistics (pp. 985–1022). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-21551-3_33

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