Operations for inference in continuous Bayesian networks with linear deterministic variables.
Barry R. CobbPrakash P. ShenoyPublished in: Int. J. Approx. Reason. (2006)
Keyphrases
- bayesian networks
- continuous variables
- discrete variables
- variable elimination
- bayesian network structure
- linear gaussian
- inference in bayesian networks
- probabilistic inference
- structure learning
- conditional probabilities
- exact inference
- random variables
- probabilistic reasoning
- hidden variables
- graphical models
- linear functions
- probability distribution
- parameter learning
- bayesian network structures
- multiply sectioned bayesian networks
- markov blanket
- conditional independencies
- dynamic bayesian networks
- bayesian network inference
- learning bayesian networks
- conditional independence
- probabilistic model
- causal relationships
- clique tree
- conditional probability tables
- piecewise linear
- directed graphical models
- factor graphs
- bayesian network classifiers
- markov networks
- incomplete data
- belief networks
- junction tree
- conditional probability distributions
- inference process
- continuous domains
- approximate inference
- regression model
- em algorithm
- reinforcement learning