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It is generally believed that ensemble approaches, which combine multiple algorithms or models, can outperform any single algorithm at machine learning tasks, such as prediction.
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Hoerl, A. and R. Kennard (1970) · 1970
Earlier work this paper cites.
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Sethuraman, J. (1994) · 1994
Earlier work this paper cites.
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Earlier work this paper cites.
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Nemirovski, A. (2000) · 1998
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Hoeting, J. A., D. Madigan, A. E. Raftery, and C. T. Volinsky (1999) · 1999
Earlier work this paper cites.
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Earlier work this paper cites.
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