In this paper, we present a new Integer Program (IP) for the Air Traffic Flow Management (ATFM) problem. The model we propose provides a complete representation of all the phases o...
Dimitris Bertsimas, Guglielmo Lulli, Amedeo R. Odo...
Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Abstract. While past research in service oriented computing has focused on the fairly static functional description and the operators of services the dynamic and flexible compositi...
We consider the problem of transforming a signal to a representation in which the components are statistically independent. When the signal is generated as a linear transformation...