Approximate inference by Markov chains on union spaces.
Max WellingMichal Rosen-ZviYee Whye TehPublished in: ICML (2004)
Keyphrases
- markov chain
- approximate inference
- graphical models
- gibbs sampling
- probabilistic inference
- belief propagation
- parameter estimation
- variational methods
- exact inference
- message passing
- gaussian process
- monte carlo
- transition probabilities
- markov chain monte carlo
- conditional random fields
- dynamic bayesian networks
- bayesian networks
- latent variables
- state space
- structured prediction
- maximum likelihood
- probabilistic model
- probabilistic automata
- belief networks
- posterior distribution
- bayesian inference
- random fields
- conditional probabilities
- random variables
- probability distribution
- dynamic programming