MPCSL - A Modular Pipeline for Causal Structure Learning.
Johannes HuegleChristopher HagedornMichael PerscheidHasso PlattnerPublished in: KDD (2021)
Keyphrases
- structure learning
- bayesian networks
- markov blanket
- graphical models
- parameter learning
- conditional independence
- causal relationships
- bayesian network structure learning
- markov logic networks
- transfer learning
- conditional independence tests
- parameter estimation
- bayesian network classifiers
- causal models
- causal discovery
- probabilistic reasoning
- probabilistic model
- sample size
- probability distribution
- directed acyclic graph
- causal reasoning
- maximum likelihood estimation
- machine learning
- conditional probabilities
- network structure
- training set
- image segmentation