The problem of merging multiple sources of information is central in many information processing areas such as databases integrating problems, multiple criteria decision making, e...
In this article, we consider the computational aspects of deciding whether a conditional independence statement t is implied by a list of conditional independence statements L usi...
The AIS-BN algorithm [2] is a successful importance sampling-based algorithm for Bayesian networks that relies on two heuristic methods to obtain an initial importance function: -...
Interest for computational trust and reputation models is on the rise. One of the most important aspects of these models is how they deal with information received from other indi...
Multiply sectioned Bayesian networks (MSBNs) provide a coherent and flexible formalism for representing uncertain knowledge in large domains. Global consistency among subnets in a...