Inferring the size of the causal universe: features and fusion of causal attribution networks.
Daniel BerenbergJames P. BagrowPublished in: CoRR (2018)
Keyphrases
- causal networks
- causal models
- causal relations
- causal relationships
- causal interactions
- low level
- bayesian networks
- feature set
- information fusion
- multiple features
- image features
- co occurrence
- causal knowledge
- feature space
- causal reasoning
- network size
- feature extraction
- data sets
- causal independence
- causal inference
- causal discovery
- heterogeneous networks
- feature vectors
- false positives
- graphical models