PRAM (Parallel Random Access Model) has been widely regarded a desirable parallel machine model for many years, but it is also believed to be "impossible in reality." As...
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
In order to create adaptive Agent Systems with abilities matching those of their biological counterparts, a natural approach is to incorporate classical conditioning mechanisms int...
Tibor Bosse, Catholijn M. Jonker, Sander A. Los, L...
Parallel and distributed programming is conceptually harder to undertake and to understand than sequential programming, because a programmer often has to manage the coexistence an...
With the growing impact of information technology the proper understanding of IT-architecture designs is becoming ever more important. Much debate has been going on about how to d...