Loopy Belief Propagation in Bayesian Networks : origin and possibilistic perspectives
Amen AjroudMohamed Nazih OmriHabib YoussefSalem BenferhatPublished in: CoRR (2012)
Keyphrases
- loopy belief propagation
- bayesian networks
- approximate inference
- graphical models
- exact inference
- belief propagation
- junction tree
- probabilistic inference
- markov random field
- conditional random fields
- structure learning
- graph cuts
- conditional independence
- markov networks
- probabilistic model
- free energy
- energy minimization
- message passing
- markov chain monte carlo
- conditional probabilities
- posterior probability
- probability distribution
- em algorithm
- incomplete data
- random variables
- belief networks
- dynamic bayesian networks
- hidden variables
- closed form
- parameter estimation
- fixed point
- machine learning
- stereo matching
- energy function
- model selection
- higher order
- image processing