A Maximal Correlation Framework for Fair Machine Learning.
Joshua K. LeeYuheng BuPrasanna SattigeriRameswar PandaGregory W. WornellLeonid KarlinskyRogério Schmidt FerisPublished in: Entropy (2022)
Keyphrases
- machine learning
- theoretical framework
- main contribution
- conceptual framework
- pattern recognition
- computational intelligence
- probabilistic model
- expert systems
- data preparation
- explanation based learning
- machine learning approaches
- inductive learning
- knowledge acquisition
- evolutionary algorithm
- databases
- multi agent systems
- reinforcement learning
- image sequences
- clustering algorithm
- website
- decision making
- artificial intelligence
- data mining