By Nils J. Nilsson (downloadable draft)

Probabilistic models for complex uncertain domains.

Hybrid and Bayesian networks.

Machine learning, active learning, graphical models, support vector machines.

Pointers to papers and pages of general interest to the theory community, theory related software available on the net, upcoming conferences and other information of interest to theoretical computer scientists.

A directory of resources related to theoretical computer science from Stanford University.

Conference calls for papers, conference and workshop programs, journal calls for papers.

home for researchers in the Stanford Computer Science Department whose primary research focus is Artificial Intelligence. Specializes in including manipulation, machine learning, navigation, vision, tactile sensing, and reasoning.

August 26, 2001, San Francisco, CA.