Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
In this paper we study the modelling of consensus reaching in a ‘soft’ environment, i.e. when the individual testimonies are expressed as fuzzy preference relations. Here cons...
Mario Fedrizzi, Michele Fedrizzi, Ricardo A. Marqu...
In 3D face recognition systems, 3D facial shape information plays an important role. Various shape representations have been proposed in the literature. The most popular techniques...
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...