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