This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
Recent advances in micro electro-mechanical systems and VLSI lithography have enabled the miniaturization of sensors and controllers. Such minitiarization facilitates the deployme...
Abstract. Information Extraction, the process of eliciting data from natural language documents, usually relies on the ability to parse the document and then to detect the meaning ...
Abstract. A major challenge of Ambient Intelligence lies in building middleware that can ease service implementation through allowing the application developer to emphasize only th...
Awareness is an essential requirement in collaborative activities. This paper presents Ariane, a generic and reusable awareness infrastructure, independent of a specific applicatio...