Combining Neural and Statistical Classi ers Via Perceptron

Abstract

Many classiication models are presently available from both the Neural Networks and Statistics communities. Recent research has revealed that, instead of selecting the \best" single model from a set of plausible candidates, integrating a set of \heterogeneous" models will maximize overall accuracy. Disagreements between these candidate models enable one to… (More)

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