Explainability for fair machine learning.
Tom BegleyTobias SchwedesChristopher FryeIlya FeigePublished in: CoRR (2020)
Keyphrases
- machine learning
- pattern recognition
- learning algorithm
- decision trees
- machine learning algorithms
- explanation based learning
- data mining
- machine learning methods
- information extraction
- computer science
- databases
- learning tasks
- background knowledge
- computational intelligence
- text mining
- natural language processing
- active learning
- image processing
- knowledge base
- computer vision
- database
- support vector machine
- artificial neural networks
- data analysis
- reinforcement learning
- image sequences
- learning systems
- inductive learning
- machine learning approaches
- supervised machine learning
- machine learning systems