Abstract. Multidimensional databases are large collections of data, often historical, used for sophisticated analysis oriented to decision making. This activity is supported by an ...
A simulation model was developed and tested using Taylor II to justify the implementation of a Flexible Manufacturing Cell (FMC). The current production capacity at the existing C...
The purpose of this paper is to introduce a new approach to teaching an introductory simulation course using an interactive CD-ROM titled "Simply Simulation". This metho...
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
We consider probabilistic inference in general hybrid networks, which include continuous and discrete variables in an arbitrary topology. We reexamine the question of variable dis...