Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning.
Sanghack LeeVasant G. HonavarPublished in: CoRR (2015)
Keyphrases
- structure learning
- causal models
- conditional independence
- graphical models
- causal reasoning
- bayesian networks
- markov logic networks
- causal discovery
- causal relationships
- random variables
- parameter learning
- probabilistic inference
- bayesian network classifiers
- continuous domains
- belief propagation
- directed acyclic graph
- transfer learning
- parameter estimation
- probabilistic reasoning
- supervised learning
- social networks
- conditional random fields
- causal graph
- probability distribution
- worst case
- higher order
- latent variables