Compiling relational Bayesian networks for exact inference.
Mark ChaviraAdnan DarwicheManfred JaegerPublished in: Int. J. Approx. Reason. (2006)
Keyphrases
- exact inference
- bayesian networks
- inference in bayesian networks
- graphical models
- approximate inference
- probabilistic inference
- probabilistic graphical models
- belief networks
- probabilistic model
- structure learning
- belief propagation
- conditional probabilities
- probability distribution
- dynamic bayesian networks
- conditional independence
- posterior probability
- latent variables
- neural network
- conditional random fields
- incomplete data
- structured prediction
- higher order
- approximation algorithms
- markov networks
- random variables
- distributed systems
- markov random field
- machine learning