Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy.
Guoliang LiTze-Yun LeongPublished in: PAKDD (2009)
Keyphrases
- bayesian network structure
- active learning
- bayesian networks
- directed acyclic graph
- markov blanket
- learning bayesian networks
- conditional independence
- causal models
- structure learning
- causal relationships
- causal discovery
- probabilistic model
- conditional probabilities
- bayesian network structures
- random variables
- search space
- supervised learning
- labeled data
- graphical models
- training examples
- transfer learning
- learning algorithm
- random sampling
- hidden variables
- feature selection
- unlabeled data
- probability distribution
- relevance feedback
- approximate inference
- semi supervised
- class imbalance
- influence diagrams
- variable selection
- probabilistic inference
- network structure
- bayesian network classifiers
- pairwise
- training set
- metadata
- semi supervised learning
- markov networks
- continuous variables
- probabilistic graphical models
- social networks