Inference in Temporal Models

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学習するスキル

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

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JL

Apr 09, 2018

I would have like to complete the honors assignments, unfortunately, I'm not fluent in Matlab. Otherwise, great course!

EZ

Mar 10, 2018

Very interesting course. However, even after completing it with honors, I feel like I don't understand a lot.

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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.

講師

  • Daphne Koller

    Daphne Koller

    Professor

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