SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks.
Conrad D. HougenLance M. KaplanMagdalena IvanovskaFederico CeruttiKumar Vijay MishraAlfred O. Hero IIIPublished in: FUSION (2022)
Keyphrases
- loopy belief propagation
- bayesian networks
- approximate inference
- graphical models
- exact inference
- belief propagation
- junction tree
- probabilistic inference
- markov random field
- higher order
- graph cuts
- free energy
- probabilistic model
- structure learning
- variational methods
- parameter learning
- conditional random fields
- conditional independence
- posterior probability
- markov chain monte carlo
- dynamic bayesian networks
- em algorithm
- message passing
- decision making
- probabilistic graphical models
- markov networks
- probability distribution
- latent variables
- random variables
- parameter estimation
- hidden variables
- conditional probabilities
- gibbs sampling
- belief networks
- structured prediction
- fixed point
- incomplete data
- cross validation
- sufficient conditions
- image segmentation