Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey.
Max HortZhenpeng ChenJie M. ZhangFederica SarroMark HarmanPublished in: CoRR (2022)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- feature selection
- supervised classification
- support vector
- meta learning
- bias variance decomposition
- learning classifier systems
- multiple classifier systems
- roc analysis
- inductive bias
- training data
- naive bayes
- training examples
- explanation based learning
- linear classifiers
- learning algorithm
- active learning
- pattern recognition
- training samples
- information extraction
- computer vision
- classification systems
- data analysis
- inductive logic programming
- inductive learning
- multiple classifiers
- data mining
- classification models
- classification method
- training set
- svm classifier
- decision boundary
- classifier ensemble
- bias variance analysis
- ensemble learning
- learning tasks
- classification algorithm
- test set
- kernel function
- model selection
- knowledge acquisition
- text classification
- feature set
- text mining
- reinforcement learning