Parallel globally optimal structure learning of Bayesian networks.
Olga NikolovaJaroslaw ZolaSrinivas AluruPublished in: J. Parallel Distributed Comput. (2013)
Keyphrases
- structure learning
- globally optimal
- bayesian networks
- window search
- graphical models
- learning bayesian networks
- conditional independence
- graph cuts
- parameter learning
- bayesian network classifiers
- locally optimal
- markov logic networks
- probabilistic model
- markov blanket
- bayesian network structure
- markov networks
- structure learning algorithm
- probabilistic reasoning
- structure and parameter learning
- transfer learning
- parameter estimation
- probabilistic inference
- bayesian network structures
- posterior probability
- belief propagation
- sample size
- random variables
- incomplete data
- machine learning
- conditional probabilities
- markov random field
- probability distribution
- learning algorithm