A Survey on Bias and Fairness in Machine Learning.
Ninareh MehrabiFred MorstatterNripsuta SaxenaKristina LermanAram GalstyanPublished in: CoRR (2019)
Keyphrases
- machine learning
- data mining
- machine learning methods
- machine learning algorithms
- natural language processing
- model selection
- inductive bias
- inductive learning
- learning systems
- pattern recognition
- computational intelligence
- bias variance analysis
- reinforcement learning
- decision trees
- feature selection
- learning algorithm
- data analysis
- resource allocation
- knowledge engineering
- machine learning approaches
- explanation based learning
- supervised learning
- knowledge acquisition
- multi agent
- kernel methods
- artificial intelligence
- supervised machine learning
- real time