Structure Learning in Bayesian Networks with Parent Divorcing.
Ulrich von WaldowFlorian RöhrbeinPublished in: EAPCogSci (2015)
Keyphrases
- structure learning
- bayesian networks
- learning bayesian networks
- graphical models
- conditional independence
- parameter learning
- markov logic networks
- bayesian network classifiers
- bayesian network structure learning
- dynamic bayesian networks
- conditional probabilities
- structure and parameter learning
- markov blanket
- random variables
- probabilistic reasoning
- bayesian network structure
- structure learning algorithm
- posterior probability
- probabilistic inference
- continuous variables
- markov networks
- hidden variables
- naive bayes
- probability distribution
- approximate inference
- image segmentation
- belief propagation
- bayesian network structures
- probabilistic model
- transfer learning
- sample size
- parameter estimation
- text categorization
- text classification
- training data