An Empirical Study of Rich Subgroup Fairness for Machine Learning.
Michael J. KearnsSeth NeelAaron RothZhiwei Steven WuPublished in: CoRR (2018)
Keyphrases
- machine learning
- pattern recognition
- knowledge acquisition
- machine learning methods
- information extraction
- machine learning algorithms
- natural language processing
- application of machine learning methods
- supervised machine learning
- machine learning and data mining
- explanation based learning
- machine learning approaches
- learning problems
- game theory
- model selection
- computer vision
- cooperative
- support vector machine
- artificial intelligence
- computational biology
- supervised classification
- statistical learning
- decision trees
- high level
- resource allocation
- reinforcement learning
- computational intelligence
- computer science
- supervised learning
- evolutionary algorithm
- multi agent systems
- text classification
- learning tasks
- image processing
- social networks
- search engine
- knowledge representation
- learning algorithm