Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques.
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'Variational Bayesian Learning Theory - Nakajima, Shinichi (Technische Universitat Berlin), Watanabe, Kazuho, Sugiyama, Masashi (University of Tokyo)'.
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