An efficient causal structure learning algorithm for linear arbitrarily distributed continuous data.
Jing YangNa LiNing AnYu ChenGil AlterovitzPublished in: J. Supercomput. (2020)
Keyphrases
- continuous data
- causal structure
- learning algorithm
- causal ordering
- discrete data
- causal discovery
- causal models
- causal relationships
- data streams
- experimental data
- machine learning
- training data
- continuous attributes
- structural equation models
- active learning
- categorical data
- training examples
- reinforcement learning
- causal graph
- observational data
- graphical models
- upper bound