HUGS: Combining Exact Inference and Gibbs Sampling in Junction Trees
Uffe KjærulffPublished in: CoRR (2013)
Keyphrases
- exact inference
- gibbs sampling
- inference in bayesian networks
- junction tree
- approximate inference
- graphical models
- bayesian networks
- belief networks
- probabilistic inference
- probabilistic graphical models
- belief propagation
- structured prediction
- latent variables
- approximation algorithms
- message passing
- dynamic bayesian networks
- conditional random fields
- gaussian process
- parameter estimation
- variational methods
- probabilistic model
- random variables
- structure learning
- graph cuts
- conditional probabilities
- markov random field
- regression model
- image segmentation