In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
The large unstructured text collections demand full-text search capabilities from IR systems. Current systems typically allow users only to connect to a single database (or site) ...
Bayesian KnowledgeBases (BKB)are a rule-based probabilistic modelthat extend BayesNetworks(BN), by allowing context-sensitive independenceand cycles in the directed graph. BKBshav...
In this paper we show that application-aware adaptation, a collaborative partnership between the operating system and applications, offers the most general and effective approach ...
Brian Noble, Mahadev Satyanarayanan, Dushyanth Nar...
To coordinate with other agents in its environment, an agent needs models of what the other agents are trying to do. When communication is impossible or expensive, this informatio...
Marcus J. Huber, Edmund H. Durfee, Michael P. Well...