Dense Graphs: From Theory to Applications

In courses (2)

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Description

This lecture covers the transition from sparse to dense graphs, exploring various concepts such as probability, Bayesian inference, and graph theory. The instructor discusses the implications of different graph structures and their applications in real-world scenarios.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_awdulp5f

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Probability theory: Topics in probability theory

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