Search for: [Abstrakt = "Classifier combining is an important method in a nonparametric discriminant analysis. In this approach M base \(local\) models are combined into the aggregated \(global\) model with the use of the combination function Ψ\: D\*\(xi.\) = Ψ \(D1\(xi\), ..., DM \(xi\)\), where Dm\(x\) is the prediction of the m\-th base model. Several different types of the function Ψ can be found in the literature. The most commonly used are\: majority vote, average, maximum and product. Moreover, some more sophisticated combination functions have been proposed, such as fuzzy integrals or decision templates. In this paper ten combination functions Ψ have been compared and their impact on the classification error of the model D\* has been investigated."]
