Previous work on sensitivity analysis in Bayesian networks has focused on single parameters, where the goal is to understand the sensitivity of queries to single parameter changes...
The paper introduces mixed networks, a new framework for expressing and reasoning with probabilistic and deterministic information. The framework combines belief networks with con...
The discrete event simulator OMNeT++, that is programmed in C++, shows a steady growing popularity. Due to its wellstructured nature, it is easy to understand and easy to use. A s...
Despite the importance of the management of inventory in industrial scheduling applications, there has been little research that has addressed reasoning about inventory directly a...
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...