Lecture

Graphical Models: Probability Distributions and Factor Graphs

In course

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Description

This lecture introduces graphical models as a language to represent probability distributions, covering concepts such as graphs, adjacency matrix, factor graphs, and neighborhood of nodes. It also explains the factor graph representation and its application in modeling random fields.

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Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_bzghksyg

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Probability theory: Topics in probability theory

Linguistics

Theoretical linguistics: Syntax

Language: Topics in language

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