Parameterising Bayesian Networks.
Owen WoodberryAnn E. NicholsonKevin B. KorbCarmel A. PollinoPublished in: Australian Conference on Artificial Intelligence (2004)
Keyphrases
- bayesian networks
- graphical models
- structure learning
- inference in bayesian networks
- probabilistic reasoning
- conditional probabilities
- learning bayesian networks
- bayesian network inference
- conditional independence
- bayesian network structure
- probabilistic inference
- naive bayes
- expert knowledge
- probability distribution
- approximate inference
- probabilistic model
- dynamic bayesian networks
- databases
- multiply sectioned bayesian networks
- markov blanket
- bayesian network structures
- real time
- probabilistic modeling
- equivalence classes
- incomplete data
- random variables
- reinforcement learning
- training data
- data mining
- real world