Generalized belief propagation for approximate inference in hybrid Bayesian networks.
Tom HeskesOnno ZoeterPublished in: AISTATS (2003)
Keyphrases
- approximate inference
- bayesian networks
- generalized belief propagation
- graphical models
- exact inference
- probabilistic inference
- belief propagation
- variational methods
- loopy belief propagation
- free energy
- linear gaussian
- partition function
- parameter estimation
- structure learning
- gaussian process
- latent variables
- posterior probability
- probabilistic model
- message passing
- random variables
- conditional probabilities
- structured prediction
- markov networks
- probability distribution
- incomplete data
- fixed point
- stereo matching
- conditional random fields
- input image
- active learning