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Probabilistic ML - Lecture 16 - Graphical Models

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This is the sixteenth 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: * Directed Graphical Models / Bayesian Networks * Plate notation * Markov Random Fields * d-Separation * Markov Blankets * Hammersley-Clifford Theorem © Philipp Hennig / University of Tübingen, 2020 CC BY-NC-SA 3.0

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