Approximate inference for first-order probabilistic languages.
Hanna PasulaStuart J. RussellPublished in: IJCAI (2001)
Keyphrases
- approximate inference
- bayesian networks
- graphical models
- factor graphs
- probabilistic inference
- belief propagation
- exact inference
- probabilistic model
- message passing
- variational methods
- gaussian process
- parameter estimation
- belief networks
- conditional probabilities
- loopy belief propagation
- expectation propagation
- latent variables
- higher order
- conditional random fields
- structured prediction
- posterior probability
- dynamic bayesian networks
- maximum likelihood
- free energy
- generalized belief propagation
- random variables
- generative model
- markov random field
- graph cuts
- semi supervised
- information extraction
- image processing
- machine learning