Graph-Based Perspective on Variable Elimination

Loading...

Destrezas que aprenderás

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

Revisiones

4.6 (347 calificaciones)
  • 5 stars
    239 ratings
  • 4 stars
    81 ratings
  • 3 stars
    19 ratings
  • 2 stars
    3 ratings
  • 1 star
    5 ratings
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.

De la lección
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.

Impartido por:

  • Daphne Koller

    Daphne Koller

    Professor

Explora nuestro catálogo

Inscríbete de manera gratuita y obtén recomendaciones personalizadas, actualizaciones y ofertas.