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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
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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