Search Results for: Learning In Graphical Models

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.

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

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