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In this paper we present a study of the influence of the representation of the data when applying evolving classifiers in a specific classification task. In particular, we consider an evolving classifier for the development of a spoken dialog system interacting in a practical domain. In order to conduct this study, we will first introduce an approach based on evolving fuzzy systems (EFS) which is...
This paper proposes a statistical methodology based on evolving Fuzzy-rule-based (FRB) classifiers to develop dialog managers for spoken dialog systems. The dialog managers developed by means of our proposal select the next system action by considering a set of dynamic rules that are automatically obtained by means of the application of the FRB classification process. Our approach has the main advantage...
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