This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Software has for a long time been used for controlling different systems. Today, there is a trend towards integrating software into consumer electronics, home appliances, cars etc...
The transparency created by enterprise models is a valuable support for organizational engineering and especially enterprise transformation. However, current approaches are hardly...
—Symmetry reduction is a technique for combating state-space explosion in model checking. The generic representatives approach to symmetry reduction uses a language-level transla...
Commercial simulation environments offer model developers the ability to compose simulation models using generic or domain specific model constructs. Most simulation environments ...