Testing conditional independence in supervised learning algorithms.
David S. WatsonMarvin N. WrightPublished in: Mach. Learn. (2021)
Keyphrases
- conditional independence
- supervised learning algorithms
- bayesian networks
- random variables
- graphical models
- supervised learning
- learning algorithm
- probability distribution
- causal models
- machine learning algorithms
- learning problems
- structure learning
- directed acyclic graph
- unlabeled data
- labeled data
- semi supervised learning
- axiomatic characterization
- machine learning
- test data
- unsupervised learning
- learning scheme
- learning process
- pairwise
- data sets