α Belief Propagation for Approximate Inference.
Dong LiuMinh Thành VuZuxing LiLars K. RasmussenPublished in: CoRR (2020)
Keyphrases
- approximate inference
- belief propagation
- graphical models
- message passing
- graph cuts
- markov random field
- exact inference
- loopy belief propagation
- stereo matching
- factor graphs
- variational methods
- probabilistic graphical models
- markov networks
- free energy
- expectation propagation
- dynamic bayesian networks
- fixed point
- pairwise
- probabilistic inference
- probabilistic model
- markov chain monte carlo
- energy function
- partition function
- energy minimization
- gaussian process
- machine learning
- bayesian networks
- computer vision