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Diversity/accuracy and ensemble classifier design | IEEE Conference Publication | IEEE Xplore

Diversity/accuracy and ensemble classifier design


Abstract:

For an ensemble of multi-layer perceptrons (MLP), test error is shown in this paper to be well correlated with a diversity/accuracy measure computed between pairs of patt...Show More

Abstract:

For an ensemble of multi-layer perceptrons (MLP), test error is shown in this paper to be well correlated with a diversity/accuracy measure computed between pairs of patterns. A weighted combination that uses the proposed measure to set the weights is shown to be less sensitive to the number of training epochs compared with majority vote.
Date of Conference: 26-26 August 2004
Date Added to IEEE Xplore: 20 September 2004
Print ISBN:0-7695-2128-2
Print ISSN: 1051-4651
Conference Location: Cambridge, UK

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