Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs.
Christopher SchmidtJohannes HuegleMatthias UflackerPublished in: SSDBM (2018)
Keyphrases
- structure learning
- gaussian distribution
- bayesian networks
- parameter learning
- graphical models
- parameter estimation
- probabilistic model
- transfer learning
- markov logic networks
- conditional independence
- sample size
- semi supervised learning
- causal models
- causal relationships
- higher order
- semi supervised
- information extraction
- probability distribution