Recent work has demonstrated that treating resource reasoning separately from causal reasoning can lead to improved planning performance and rational resource management where inc...
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
This paper discusses issues in modeling C4I and cognitive processes in next generation simulations and applications to Force XXI command and control. We propose a modification to ...
Martin S. Kleiner, Scott A. Carey, Joseph E. Beach
This paper describes an approach to the treatment of nominal compounds in a machine translation project employing a modern unification-based system. General problems connected wit...
Pierrette Bouillon, Katharina Boesefeldt, Graham R...
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...