Stacked Structure Learning for Lifted Relational Neural Networks.
Gustav SourekMartin SvatosFilip ZeleznýSteven SchockaertOndrej KuzelkaPublished in: ILP (2017)
Keyphrases
- structure learning
- graphical models
- neural network
- statistical relational learning
- probabilistic inference
- bayesian networks
- markov logic networks
- conditional independence
- belief propagation
- probabilistic model
- parameter learning
- bayesian network structure learning
- random variables
- bayesian network classifiers
- markov networks
- probabilistic graphical models
- approximate inference
- network structure
- fuzzy logic
- structure learning algorithm
- belief networks
- conditional random fields
- transfer learning
- exact inference
- sample size
- parameter estimation
- probability distribution
- message passing
- model selection
- data mining