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Counting and enumerating aggregate classifiers
Authors:Jan Adem  Yves Crama  Willy Gochet  Frits CR Spieksma
Institution:aFinancial Markets, ING, Avenue Marnix 24, B-1000 Brussels, Belgium;bHEC Management School, University of Liège, Boulevard du Rectorat 7 (B31), 4000 Liège, Belgium;cOperations Research Group, FETEW, Katholieke Universiteit Leuven, Naamsestraat 69, B-3000, Leuven, Belgium
Abstract:We propose a generic model for the “weighted voting” aggregation step performed by several methods in supervised classification. Further, we construct an algorithm to enumerate the number of distinct aggregate classifiers that arise in this model. When there are only two classes in the classification problem, we show that a class of functions that arises from aggregate classifiers coincides with the class of self-dual positive threshold Boolean functions.
Keywords:Supervised classification  Weighted voting  Boolean functions  Integer sequence
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