Graphical Explanation in Bayesian Networks.
Carmen LacaveRoberto AtienzaFrancisco Javier DíezPublished in: ISMDA (2000)
Keyphrases
- bayesian networks
- cost based abduction
- chain graphs
- conditional independence
- probabilistic reasoning
- graphical models
- bayesian network structure
- probability distribution
- conditional probabilities
- expert knowledge
- probabilistic inference
- causal knowledge
- inference in bayesian networks
- graphical representation
- bayesian network classifiers
- bayesian network learning
- hidden variables
- incomplete data
- probabilistic model
- probabilistic modeling
- visual representations
- causal relationships
- learning bayesian networks
- structure learning
- query language for xml
- causal explanation
- multiply sectioned bayesian networks
- real time
- causal reasoning
- junction tree
- approximate inference
- random variables
- maximum likelihood
- data sets