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Probabilistic ML - Lecture 17 - Factor Graphs

This is the seventeenth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University of Tübingen. Time-stamped slides available at https://uni-tuebingen.de/en/180804. Contents: * connections between Bayesian networks and Markov Random Fields * Factor Graphs * introduction to the Sum-Product algorithm / message passing * forward-backward algorithm on Markov Chains * Viterbi algorithm © Philipp Hennig / University of Tübingen, 2020 CC BY-NC-SA 3.0