Active Learning for Decision-Making from Imbalanced Observational Data.
Iiris SundinPeter SchulamEero SiivolaAki VehtariSuchi SariaSamuel KaskiPublished in: CoRR (2019)
Keyphrases
- active learning
- decision making
- observational data
- causal bayesian networks
- class imbalance
- experimental data
- imbalanced data classification
- causal discovery
- decision makers
- sample size
- causal models
- causal structure
- semi supervised
- random sampling
- causal effects
- rare class
- imbalanced class distribution
- causal relationships
- learning process
- learning algorithm
- directed acyclic graph
- imbalanced data
- databases
- cost sensitive learning
- training examples
- machine learning
- data mining
- class distribution
- linear regression
- imbalanced datasets
- causal relations
- unlabeled data
- labeled data
- probability distribution
- prior knowledge
- feature selection
- data sets