The impact of prior knowledge on causal structure learning.
Anthony C. ConstantinouZhigao GuoNeville Kenneth KitsonPublished in: Knowl. Inf. Syst. (2023)
Keyphrases
- structure learning
- bayesian networks
- prior knowledge
- markov blanket
- graphical models
- parameter learning
- conditional independence
- markov logic networks
- conditional independence tests
- bayesian network structure learning
- bayesian network classifiers
- structure learning algorithm
- parameter estimation
- transfer learning
- markov networks
- causal relationships
- probability distribution
- probabilistic model
- causal models
- prior information
- random variables
- probabilistic reasoning
- conditional random fields
- causal discovery
- generative model
- pairwise