On Directed and Undirected Propagation Algorithms for Bayesian Networks.
Christophe GonzalesKhaled MellouliOlfa MouraliPublished in: ECSQARU (2007)
Keyphrases
- bayesian networks
- chain graphs
- conditional independence
- graphical models
- conditional probabilities
- learning bayesian networks
- probabilistic reasoning
- inference in bayesian networks
- probability distribution
- structure learning
- parameter learning
- weighted graph
- probabilistic inference
- markov networks
- hidden variables
- incomplete data
- bayesian network structure
- causal relationships
- bayesian network inference
- variable elimination
- directed graph
- undirected graphical models
- exact inference
- complex domains
- data sets
- probabilistic modeling
- bayesian belief networks
- probabilistic graphical models
- naive bayes