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12

ESANN
2006

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Designing neural network committees by combining boosting ensembles

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Designing neural network committees by combining boosting ensembles

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The use of modified Real Adaboost ensembles by applying weighted emphasis on erroneous and critical (near the classification boundary) has been shown to lead to improved designs, both in performance and in ensemble sizes. In this paper, we propose to take advantage of the diversity among different weighted combination to build committees of modified Real Adaboost designs. Experiments show that the expected improvements are obtained.

Vanessa Gómez-Verdejo, Aníbal R. Fig

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Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2006
Where	ESANN
Authors	Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal

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