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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
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