Analyzing and pruning ensembles utilizing bias and variance theory
Ensemble methods are widely preferred over single classifiers due to the advantages they offer in terms of accuracy, complexity and flexibility. In this doctoral study, the aim is to understand and analyze ensembles while offering new design and pruning techniques. Bias-variance frameworks have been...
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University of Surrey
2014
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654766 |