Inference in Hybrid Bayesian Networks with Deterministic Variables.
Prakash P. ShenoyJames C. WestPublished in: ECSQARU (2009)
Keyphrases
- bayesian networks
- variable elimination
- inference in bayesian networks
- bayesian network structure
- probabilistic inference
- conditional probabilities
- hidden variables
- random variables
- conditional independencies
- structure learning algorithm
- causal relationships
- markov blanket
- exact inference
- bayesian network structures
- continuous variables
- graphical models
- probabilistic reasoning
- multiply sectioned bayesian networks
- structure learning
- genetic algorithm and simulated annealing
- linear gaussian
- parameter learning
- bayesian network inference
- conditional probability distributions
- probabilistic model
- conditional probability tables
- learning bayesian networks
- dynamic bayesian networks
- independence relations
- factor graphs
- probability distribution
- approximate inference
- probabilistic modeling
- incomplete data
- variable selection
- clique tree
- influence diagrams
- expert knowledge
- credal networks
- bayesian inference
- causal discovery
- observed variables
- conditional independence
- bayesian belief networks
- discrete variables
- inference process
- observational data
- naive bayes
- bayesian network classifiers