Human languages evolve continuously, and a puzzling problem is how to reconcile the apparent robustness of most of the deep linguistic structures we use with the evidence that the...
Animesh Mukherjee, Francesca Tria, Andrea Baronche...
Programming on the Web enlights some classical problems encountered on large distributed applications with a particular emphasis on dynamic changes. In that context, we are intere...
Multi-touch interactions are a promising means of control for interactive tabletops. However, a lack of precision and tactile feedback makes multi-touch controls a poor fit for ta...
Rebecca Fiebrink, Dan Morris, Meredith Ringel Morr...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli