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http://hdl.handle.net/10419/22204
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| Title: | | Bagging, boosting and ensemble methods  |
| Authors: | | Bühlmann, Peter |
| Issue Date: | | 2004 |
| Series/Report no.: | | Papers / Humboldt-Universität Berlin, Center for Applied Statistics and Economics (CASE) 2004,31 |
| 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. |
| Document Type: | | Working Paper |
| Appears in Collections: | | Papers, CASE - Center for Applied Statistics and Economics, HU Berlin
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