Graph-Based Perspective on Variable Elimination

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강의 계획서 보기

배우게 될 기술

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

검토

4.6(448개의 평가)
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LL
2017년 3월 11일

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
2017년 5월 28일

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

수업에서
Variable Elimination
This module presents the simplest algorithm for exact inference in graphical models: variable elimination. We describe the algorithm, and analyze its complexity in terms of properties of the graph structure.

강사:

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    Daphne Koller

    Professor

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