Context-aware applications adapt their behavior depending on changes in their environment context. Programming such applications in a modular way requires to modularize the global ...
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
The ability to classify packets according to pre-defined rules is critical to providing many sophisticated value-added services, such as security, QoS, load balancing, traffic acco...
Abstract. The increasing need for device independence and personalization forces organizations to automatically adapt their Web Information Systems (WISs) to individual users and t...