The requirement for 24/7 availability of distributed applications complicates their maintenance and evolution as shutting down such applications to perform updates may not be an a...
Robert Pawel Bialek, Eric Jul, Jean-Guy Schneider,...
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Systems such as adaptative and context–aware ones must adapt themselves to changing requirements at runtime. Modeling and implementing this kind of systems is a difficult opera...
State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...
The Unified Modeling Language (UML) statechart diagram is used for modeling the dynamic aspects of systems. The UML statechart diagrams include many concepts that are not present ...