Lecture 1. Introduction to Probabilistic Graphical Models: Terminology and Examples
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Lecture 1. Introduction to Probabilistic Graphical Models: Terminology and Examples
Introduction, Types of Graphical Models, Joint Distribution of Random Variables and Graphs, Applications of PGMs; Graph Terminology, Directed Acyclic Graphs, Trees and Polytrees, Cliques and Maximal Cliques, Conditional Probability Tables; Examples, Naïve Bayes Classifiers, Markov and Hidden Markov Models, Medical Diagnosis – The Alarm ...
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