Graphical Models and Variational Methods
This chapter contains sections titled: Introduction, Variational methods for maximum likelihood learning, Variational methods for Bayesian learning, Conjugate-Exponential Models, Belief Networks and Markov Networks, Examples, Sampling from Variational Approximations, Conclusion, Acknowledgments, References