Training regression ensembles by sequential target correction and resampling

Inf. Sci., pp. 154-174, 2012.

Cited by: 6|Views6
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Abstract:

Ensemble methods learn models from examples by generating a set of hypotheses, which are then combined to make a single decision. We propose an algorithm to construct an ensemble for regression estimation. Our proposal generates the hypotheses sequentially using a simple procedure whereby the target map to be learned by the base learner a...More

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