Visualizing the Consequences of Evidence in Bayesian Networks.
Clifford ChampionCharles ElkanPublished in: CoRR (2017)
Keyphrases
- bayesian networks
- evidential reasoning
- conditional probabilities
- probabilistic reasoning
- structure learning
- learning bayesian networks
- empirical evidence
- graphical models
- conditional independence
- probabilistic inference
- expert knowledge
- random variables
- probabilistic model
- bayesian network structure
- variable elimination
- bayesian network learning
- parameter learning
- inference in bayesian networks
- probability distribution
- decision trees
- genetic algorithm
- hidden variables
- influence diagrams
- naive bayes
- knowledge base
- information retrieval
- machine learning
- probabilistic classifiers
- bayesian network inference
- data sets