Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: boosted ellipsoid ARTMAP

In this paper we introduce boosted ellipsoid ARTMAP (bEAM), a variant of ellipsoid ARTMAP, which via a tunable misclassification error tolerance increases the network's resubstitution error and implicitly performs structural risk minimization. bEAM constitutes another example of how modifications to fuzzy ARTMAP can be naturally extended to ellipsoid ARTMAP.