Tuning diversity in bagged ensembles
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1Department of Computer Science, University of Dublin, Trinity College, Ireland. John.Carney@cs.tcd.ie
International Journal of Neural Systems
|October 29, 2000
Abstract:
In this paper, we investigate how the level of diversity amongst individual neural networks in a bagged ensemble can significantly influence overall ensemble generalization performance. We propose a new technique that tunes this diversity so that ensemble generalization performance is optimized and evaluate its performance on benchmark regression data-sets.
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