Lecture

Graphical Models: Chain Rule and Variable Elimination

Description

This lecture covers the chain rule in graphical models, explaining how to calculate joint probabilities using conditional probabilities. It also introduces variable elimination, a method for computing marginals and maximum likelihood estimates in Bayesian networks.

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