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of freedom in the algorithm, the bias shrinks but the variance increases. The optimal number of degrees of freedom (as far as expected loss is concerned) is..
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Methods for voting classification algorithms, such as Bagging and AdaBoost, have ... (Buntine 1992b, Buntine 1992a, Kohavi & Kunz 1997); averaging path sets, ....
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