Boosting Local Causal Discovery in High-Dimensional Expression Data.
Philip VersteegJoris M. MooijPublished in: CoRR (2019)
Keyphrases
- causal discovery
- high dimensional
- causal models
- causal relationships
- bayesian networks
- discovery process
- causal structure
- low dimensional
- conditional independence
- directed acyclic graph
- markov blanket
- feature space
- high dimensionality
- parameter space
- observational data
- variable selection
- high dimensional data
- noisy data
- databases
- learning algorithm
- machine learning
- cost sensitive
- experimental data
- lower bound
- decision trees
- feature selection