Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates.
Quang-Thang DinhMatthieu ExbrayatChristel VrainPublished in: IJCAI (2011)
Keyphrases
- markov logic networks
- structure learning
- graphical models
- bayesian networks
- statistical relational learning
- conditional independence
- markov networks
- parameter learning
- probabilistic reasoning
- transfer learning
- parameter estimation
- first order logic
- directed graph
- random variables
- sample size
- network structure
- belief propagation
- directed acyclic graph
- probabilistic model
- probabilistic graphical models
- least squares
- machine learning