We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
: In this paper we explain how we have integrated the functionalities of a constraint management system and a temporal data base system to enable a model-based control of systems t...
Intentional agent systems are increasingly being used in a wide range of complex applications. Capabilities has recently been introduced into some of these systems as a software en...
The paper considers distributed applications where interactions between constituent services take place via messages in an asynchronous environment with unpredictable communicatio...
— In wireless sensor networks, many protocols assume that if node A is able to interfere with node B’s packet reception, then node B is within node A’s communication range. I...
Gang Zhou, Tian He, John A. Stankovic, Tarek F. Ab...