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: CoRR (2022)
Keyphrases
- loopy belief propagation
- bayesian networks
- approximate inference
- graphical models
- exact inference
- belief propagation
- junction tree
- probabilistic inference
- markov random field
- free energy
- structure learning
- conditional random fields
- graph cuts
- probabilistic graphical models
- em algorithm
- higher order
- random variables
- variational methods
- dynamic bayesian networks
- conditional independence
- probabilistic model
- message passing
- influence diagrams
- gibbs sampling
- parameter learning
- conditional probabilities
- markov networks
- incomplete data
- decision making
- energy minimization
- fixed point
- belief networks
- hidden variables
- gaussian process
- probability distribution
- pairwise
- parameter estimation
- expectation maximization