Robust expected information gain for optimal Bayesian experimental design using ambiguity sets.
Jinwoo GoTobin IsaacPublished in: UAI (2022)
Keyphrases
- information gain
- experimental design
- feature selection
- decision trees
- text categorization
- chi squared
- mutual information
- active learning
- sample size
- feature subset
- empirical studies
- naive bayes
- correlation coefficient
- class imbalance
- nearest neighbor
- optimal solution
- bayesian networks
- worst case
- feature space
- high dimensional data