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 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