Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning.
Sanghack LeeVasant G. HonavarPublished in: ACI@UAI (2015)
Keyphrases
- structure learning
- causal models
- conditional independence
- graphical models
- causal reasoning
- bayesian networks
- causal discovery
- parameter learning
- bayesian network classifiers
- structural equation models
- markov logic networks
- continuous domains
- random variables
- probabilistic model
- probabilistic inference
- directed acyclic graph
- parameter estimation
- knowledge base
- causal relationships
- conditional random fields
- causal graph
- machine learning
- markov networks
- message passing
- transfer learning
- generative model
- probability distribution
- pairwise
- learning algorithm