A Survey on Bias and Fairness in Machine Learning.
Ninareh MehrabiFred MorstatterNripsuta SaxenaKristina LermanAram GalstyanPublished in: ACM Comput. Surv. (2021)
Keyphrases
- machine learning
- resource allocation
- pattern recognition
- learning tasks
- data mining
- learning algorithm
- machine learning methods
- text classification
- information extraction
- databases
- inductive bias
- game theory
- machine learning algorithms
- model selection
- knowledge representation
- data analysis
- computer vision
- decision trees
- real time
- machine learning approaches
- computational biology
- artificial intelligence
- feature selection
- natural language
- logic programs
- text mining
- information systems
- supervised learning
- computer science
- statistical methods
- real world
- inductive learning
- knowledge engineering
- support vector machine
- knowledge discovery
- active learning