Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge.
Lyuzhou ChenTaiyu BanXiangyu WangDerui LyuHuanhuan ChenPublished in: CoRR (2023)
Keyphrases
- structure learning
- prior knowledge
- bayesian networks
- markov blanket
- graphical models
- parameter learning
- conditional independence
- prior information
- bayesian network structure learning
- bayesian network classifiers
- transfer learning
- parameter estimation
- markov logic networks
- causal relationships
- causal models
- random variables
- latent variables
- causal discovery
- conditional independence tests
- labeled data
- training data
- bayesian framework
- background knowledge
- probabilistic reasoning
- generative model
- probabilistic model
- machine learning
- network structure
- text categorization
- causal reasoning
- data sets