The Constraint-Based Agent (CBA) framework is a set of tools for designing, simulating, building, verifying, optimizing, learning and debugging controllers for agents embedded in a...
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
: The author reports on a universal searchable index of Web resources for design engineering. The project is part of the Web site for the Canadian Design Engineering Network (CDEN)...
- This paper presents the results of a PhD thesis research, with an innovative proposal for the development of a Technical Laboratory Disciplines in Electrical and Computing Engine...
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...