Approximations of Bayesian Networks through KL Minimisation.
Wim WiegerinckBert KappenPublished in: New Gener. Comput. (2000)
Keyphrases
- bayesian networks
- inference in bayesian networks
- conditional probabilities
- probabilistic inference
- conditional independence
- probability distribution
- learning bayesian networks
- probabilistic model
- bayesian network inference
- expert knowledge
- structure learning
- incomplete data
- exact inference
- bayesian network structure
- posterior probability
- graphical models
- naive bayes
- bayesian belief networks
- bayesian network classifiers
- bayesian network learning
- efficient computation
- multiply sectioned bayesian networks
- diagnostic reasoning
- kl divergence
- variational methods
- parameter learning
- markov networks
- special case