An Empirical Study of w-Cutset Sampling for Bayesian Networks
Bozhena BidyukRina DechterPublished in: CoRR (2012)
Keyphrases
- bayesian networks
- graphical models
- exact inference
- structure learning
- sampling algorithm
- conditional independence
- probability distribution
- random sampling
- expert knowledge
- approximate inference
- random variables
- naive bayes
- np hard problems
- probabilistic model
- sampling methods
- incomplete data
- parameter space
- bayesian network classifiers
- constraint programming
- sampling strategy
- monte carlo
- discrete variables
- sampled data
- probabilistic inference
- parameter learning
- multiply sectioned bayesian networks
- global constraints
- markov networks
- neural network
- posterior probability
- conditional probabilities
- belief propagation
- sample size
- model selection
- learning algorithm