One of the new design goals in Human Computer Interaction is to extend the sensory-motor capabilities of computer systems to better match the natural communication means of human b...
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Abstract The last edition of CLIMA, held in 2001 in Paphos (Cyprus) ended with a panel session on the role of Computational Logic (CL) in Multi-Agent Systems (MAS). Two dimensions ...
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...