Compatible and incompatible abstractions in Bayesian networks.
Barbaros YetD. William R. MarshPublished in: Knowl. Based Syst. (2014)
Keyphrases
- bayesian networks
- high level
- probability distribution
- learning bayesian networks
- qualitative probabilistic networks
- probabilistic reasoning
- conditional independence
- inference in bayesian networks
- conditional probabilities
- structure learning
- expert knowledge
- probabilistic inference
- bayesian network structure
- probabilistic modeling
- parameter learning
- bayesian network classifiers
- bayesian belief networks
- bayesian network inference
- probabilistic model
- random variables
- graphical models
- naive bayes
- student modeling
- real time
- hidden variables
- maximum entropy
- bayesian network learning
- neural network