This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We developed a general methodology for modelling reliability of complex systems based o...
In this paper we consider the problem of using disk blocks efficiently in searching graphs that are too large to fit in internal memory. Our model allows a vertex to be represented...
Mark H. Nodine, Michael T. Goodrich, Jeffrey Scott...
Abstract. The need of the current Natural Language Processing applications to identify text segments that express the same meaning in different ways, evolved into the identificatio...
In the past decades, many formal frameworks (e.g. timed automata and temporal logics) and techniques (e.g. model checking and theorem proving) have been proposed to model a real-ti...
Jinfeng Huang, Marc Geilen, Jeroen Voeten, Henk Co...
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...