Slides and additional notes from a tutorial by Nir Friedman and Daphne Koller on automated learning of belief networks, given at the Neural Information Processing Systems (NIPS-2001) conference

Maintained by Gal Elidan - over a dozen publicly available networks with documentation, in several popular interchange formats

Research projects on learning in human-machine interaction, natural language interface to the WWW, statistical analysis of neurophysiological data, self-organization of proteins, nonlinear acoustic signal processing.

Machine learning; applications to human-computer interaction, vision, neurophysiology, biology and cognitive science.

Learning of probabilistic models, applications to computational biology.

Vision, Bayesian methods, neural computation.

School of Engineering and Computer Science. Studies, research, staff and on-line resources.

Hebrew University.

The Hebrew University.

7th Workshop on Job Scheduling Strategies for Parallel Processing. In conjunction with SIGMETRICS. June 16, Cambridge, Massachusetts, USA.