Originally published: Boston : Kluwer Academic Publishers, 1998.
Includes bibliographical references and index.
Presents an exploration of issues related to learning within the graphical model formalism. This text covers topics such as: inference for Bayesian networks; Monte Carlo methods; variational methods; and learning with Bayesian networks.