We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
A central problem in learning in complex environmentsis balancing exploration of untested actions against exploitation of actions that are known to be good. The benefit of explora...
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
Abstract — We apply finite state-dependent queueing networks to model mobility in mobile communication systems. Although they have been successfully used in the past to model ve...
Frederico R. B. Cruz, P. C. Oliveira, Luiz Duczmal
We consider the fully distributed Video-on-Demand problem, where n nodes called boxes store a large set of videos and collaborate to serve simultaneously n videos or less between ...
Yacine Boufkhad, Fabien Mathieu, Fabien de Montgol...