Inference in Temporal Models

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Kompetenzen, die Sie erwerben

Inference, Gibbs Sampling, Markov Chain Monte Carlo (MCMC), Belief Propagation

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4.6 (471 Bewertungen)

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LL

11. März 2017

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Thanks a lot for professor D.K.'s great course for PGM inference part. Really a very good starting point for PGM model and preparation for learning part.

YP

28. Mai 2017

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I learned pretty much from this course. It answered my quandaries from the representation course, and as well deepened my understanding of PGM.

Aus der Unterrichtseinheit

Inference in Temporal Models

In this brief lesson, we discuss some of the complexities of applying some of the exact or approximate inference algorithms that we learned earlier in this course to dynamic Bayesian networks.

Unterrichtet von

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    Daphne Koller

    Professor

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