Approximate Inference in Probabilistic Graphical Models with Determinism.
Vibhav GogatePublished in: AAAI (2007)
Keyphrases
- probabilistic graphical models
- approximate inference
- graphical models
- exact inference
- belief propagation
- probabilistic inference
- parameter estimation
- variational methods
- message passing
- latent variables
- bayesian networks
- gaussian process
- parameter learning
- structured prediction
- factor graphs
- dynamic bayesian networks
- conditional random fields
- markov networks
- structure learning
- probabilistic model
- stereo matching
- random variables
- post processing
- maximum likelihood
- image processing