Approximate Inference for Infinite Contingent Bayesian Networks.
Brian MilchBhaskara MarthiDavid A. SontagStuart J. RussellDaniel L. OngAndrey KolobovPublished in: AISTATS (2005)
Keyphrases
- approximate inference
- bayesian networks
- graphical models
- exact inference
- probabilistic inference
- parameter learning
- dynamic bayesian networks
- bayesian network inference
- variational methods
- conditional independence
- inference in bayesian networks
- belief propagation
- loopy belief propagation
- probabilistic model
- random variables
- conditional probabilities
- markov blanket
- factor graphs
- structure learning
- parameter estimation
- probability distribution
- expectation propagation
- structured prediction
- generalized belief propagation
- hidden variables
- markov networks
- machine learning
- gaussian process
- message passing
- latent variables
- incomplete data
- image reconstruction
- markov random field
- hidden markov models
- linear gaussian