Probabilistic ML - Lecture 16 - Graphical Models

Описание к видео Probabilistic ML - Lecture 16 - Graphical Models

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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