An Algebraic Notion of Conditional Independence, and its Application to Knowledge Representation (Preliminary Report).
Jesse HeyninckPublished in: NMR (2023)
Keyphrases
- conditional independence
- knowledge representation
- bayesian networks
- random variables
- graphical models
- probability distribution
- structure learning
- directed acyclic graph
- bayesian network structure
- learning bayesian networks
- causal models
- artificial intelligence
- knowledge base
- probability theory
- structure and parameter learning
- logic programming
- expert systems
- semantic web
- knowledge acquisition
- possibility theory
- axiomatic characterization
- natural language
- conditional independencies
- probabilistic reasoning
- machine learning
- causal independence
- chain graphs
- statistical independence
- neural network