In the past decade, a number of different research communities within the computational sciences have studied learning in networks, starting from a number of di

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making deci

Content Description. #Includes bibliographical references and index.

The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate sta

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computati