Causal independence for probability assessment and inference using Bayesian networks.
David HeckermanJohn S. BreesePublished in: IEEE Trans. Syst. Man Cybern. Part A (1996)
Keyphrases
- causal independence
- bayesian networks
- conditional probabilities
- bayesian network inference
- probabilistic inference
- probability distribution
- belief networks
- conditional independence
- posterior probability
- joint probability
- probabilistic reasoning
- inference in bayesian networks
- exact inference
- random variables
- bayesian model
- dynamic bayesian networks
- graphical models
- parameter learning
- markov logic networks
- structure learning
- probabilistic model
- prior probabilities
- approximate inference
- incomplete data
- maximum likelihood
- multiply sectioned bayesian networks
- markov networks
- hidden variables
- generative model
- multi class
- expert systems