In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
We propose an extended relational database model which can model both uncertainty and imprecision in data. This model is basedon Dempster-Shafertheory which has become popular in ...
In this paper we propose a new tool called OWL-CM (OWL Combining Matcher) that deals with uncertainty inherent to ontology mapping process. On the one hand, OWL-CM uses the techniq...
: This is an ongoing project, which is scheduled until 2005. So I decided together with Richard Wang to set up Sup-Projects that could be published earlier. The main objective is t...