Generalized Bayesian Structure Learning from Noisy Datasets.
Yan TangYu ChenGaolong GePublished in: DASFAA Workshops (2019)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- conditional independence
- parameter learning
- bayesian network structures
- markov logic networks
- incomplete data
- bayesian network structure learning
- bayesian network classifiers
- transfer learning
- posterior probability
- parameter estimation
- hidden variables
- markov networks
- random variables
- probability distribution
- belief propagation
- conditional probabilities
- maximum likelihood
- bayesian inference
- posterior distribution
- approximate inference
- probabilistic model
- learning process
- learning algorithm