Scalable Structure Learning for Probabilistic Soft Logic.
Varun EmbarDhanya SridharGolnoosh FarnadiLise GetoorPublished in: CoRR (2018)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- markov logic networks
- probabilistic model
- probabilistic logic
- parameter learning
- conditional independence
- bayesian network classifiers
- probabilistic reasoning
- bayesian network structure learning
- transfer learning
- parameter estimation
- structure learning algorithm
- network structure
- logic programming
- conditional probabilities
- posterior probability
- markov networks
- probability distribution
- markov blanket
- inductive logic programming
- feature selection
- active learning
- image segmentation