Parallel probabilistic graphical model approach for nonparametric Bayesian inference.
Wonjung LeeNicholas ZabarasPublished in: J. Comput. Phys. (2018)
Keyphrases
- bayesian inference
- probabilistic graphical models
- markov networks
- hierarchical bayesian
- variational inference
- probabilistic model
- graphical models
- hidden variables
- application to image segmentation
- prior information
- hyperparameters
- maximum margin
- latent variables
- first order logic
- probabilistic inference
- belief propagation
- bayesian networks
- expectation propagation
- parameter learning
- structure learning
- particle filter
- knowledge representation
- exact inference
- generative model
- pairwise
- random variables