Monotonicity in Bayesian Networks.
Linda C. van der GaagHans L. BodlaenderA. J. FeeldersPublished in: UAI (2004)
Keyphrases
- bayesian networks
- structure learning
- conditional independence
- probability distribution
- bayesian network structure
- probabilistic model
- bayesian network inference
- probabilistic reasoning
- random variables
- learning bayesian networks
- naive bayes
- graphical models
- conditional probabilities
- incomplete data
- hidden variables
- parameter learning
- monotonicity constraints
- bayesian network learning
- probabilistic inference
- approximate inference
- expert knowledge
- expectation maximization
- search space
- probabilistic modeling
- case study
- inference in bayesian networks
- variable elimination
- bayesian network models
- decision trees
- probabilistic classifiers
- information systems
- machine learning