Recent years have seen increasing attention in temporal processing of texts as well as a lot of standardization effort of temporal information in natural language. A central part ...
In a Multiple User Interfaces (MUI) context, several models must be defined and adapted (tasks, user, .). Abstract models are progressively enriched in concrete models using patte...
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
While the Belief, Desire, Intention (BDI) framework is one of the most influential and appealing approaches to rational agent architectures, a gulf often exists between the high-l...
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...