Layering-MCMC for Structure Learning in Bayesian Networks.
Jussi ViinikkaMikko KoivistoPublished in: UAI (2020)
Keyphrases
- structure learning
- bayesian networks
- posterior probability
- approximate inference
- graphical models
- learning bayesian networks
- parameter learning
- conditional independence
- markov chain
- markov logic networks
- probabilistic inference
- parameter estimation
- markov networks
- probabilistic model
- bayesian network classifiers
- posterior distribution
- bayesian network structures
- random variables
- dynamic bayesian networks
- structure and parameter learning
- markov blanket
- probabilistic reasoning
- structure learning algorithm
- transfer learning
- bayesian network structure
- probability distribution
- feature selection
- bayesian inference
- particle filtering
- conditional probabilities
- social networks
- hidden variables
- exact inference
- sample size
- naive bayes