Explaining inferences in Bayesian networks.
Ghim-Eng YapAh-Hwee TanHweeHwa PangPublished in: Appl. Intell. (2008)
Keyphrases
- bayesian networks
- inference in bayesian networks
- structure learning
- conditional independence
- probabilistic model
- probability distribution
- graphical models
- conditional probabilities
- learning bayesian networks
- probabilistic reasoning
- bayesian network inference
- probabilistic modeling
- incomplete data
- bayesian network classifiers
- expert knowledge
- markov networks
- causal relationships
- database
- probabilistic inference
- random variables
- junction tree
- naive bayes
- classification accuracy
- probabilistic knowledge
- learning algorithm
- databases