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

This book exemplifies the interplay between the general formal framework of graphical models and the exploration of new algorithm and architectures. The selecti

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

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

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments