It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Analysis of rule interestingness measures with respect to their properties is an important research area helping to identify groups of measures that are truly meaningful. In this a...
Abstract. The naive credal classifier (NCC) extends naive Bayes classifier (NBC) to imprecise probabilities to robustly deal with the specification of the prior; NCC models a state...
This paper deals with color matching in a wood quality control problem. The main difficulty consists in the recognition of gradual color in an industrial context. The wood, which i...
Vincent Bombardier, Emmanuel Schmitt, Patrick Char...
Abstract. Nonparametric predictive inference (NPI) is a powerful frequentist statistical framework based only on an exchangeability assumption for future and past observations, mad...
Frank P. A. Coolen, Pauline Coolen-Schrijner, Taha...