Knowledge Propagation over Conditional Independence Graphs.
Urszula ChajewskaHarsh ShrivastavaPublished in: CoRR (2023)
Keyphrases
- conditional independence
- bayesian networks
- knowledge base
- chain graphs
- random variables
- domain knowledge
- probability distribution
- graphical models
- learning bayesian networks
- directed acyclic graph
- causal models
- bayesian network structure
- axiomatic characterization
- structure learning
- directed graph
- probability theory
- knowledge discovery
- markov property
- prior knowledge
- decision trees