Learning to Maximize Mutual Information for Dynamic Feature Selection.
Ian Connick CovertWei QiuMingyu LuNayoon KimNathan J. WhiteSu-In LeePublished in: ICML (2023)
Keyphrases
- mutual information
- feature selection
- unsupervised learning
- conditional mutual information
- information theoretic
- learning systems
- knowledge acquisition
- learning process
- learning algorithm
- learning tasks
- online learning
- supervised learning
- background knowledge
- similarity measure
- learning analytics
- information gain
- multiresolution
- image analysis
- feature space
- text categorization
- support vector
- reinforcement learning
- learning scenarios
- inductive learning
- information theoretic measures
- machine learning
- mutual information maximization