Overview: Conditional Probability Queries

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您将学习的技能

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

审阅

4.6(420 个评分)
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LL

Mar 12, 2017

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

May 29, 2017

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

从本节课中
Inference Overview
This module provides a high-level overview of the main types of inference tasks typically encountered in graphical models: conditional probability queries, and finding the most likely assignment (MAP inference).

教学方

  • Daphne Koller

    Daphne Koller

    Professor

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