Causal Discovery using Compression-Complexity Measures.
Pranay SYNithin NagarajPublished in: CoRR (2020)
Keyphrases
- causal discovery
- complexity measures
- causal models
- causal relationships
- discovery process
- bayesian networks
- causal structure
- lower bound
- directed acyclic graph
- conditional independence
- learning paradigms
- nearest neighbor classifier
- data mining
- knowledge discovery
- objective function
- e learning
- markov random field
- dynamic programming
- prior knowledge
- data analysis
- face recognition
- observational data
- decision making
- real world