An Ontology for Reasoning About Fairness in Regression and Machine Learning.
Jade S. FranklinHannah PowersJohn S. EricksonJamie P. McCuskerDeborah L. McGuinnessKristin P. BennettPublished in: KGSWC (2023)
Keyphrases
- machine learning
- regression model
- classification and regression problems
- model selection
- knowledge acquisition
- machine learning algorithms
- knowledge representation
- knowledge base
- machine learning approaches
- machine learning methods
- pattern recognition
- spatial reasoning
- explanation based learning
- regression analysis
- learning algorithm
- qualitative reasoning
- learning systems
- artificial intelligence
- domain specific
- learning tasks
- mercer kernels
- regression problems
- linear regression
- regression trees
- resource allocation
- data mining
- conformal prediction
- domain knowledge
- data analysis
- computer science
- natural language
- support vector
- formal theory
- regression methods
- ridge regression
- simple linear
- locally weighted
- conditional density estimation
- background knowledge
- regression method
- game theory
- computer vision
- cross validation
- text classification
- computational intelligence
- text mining
- natural language processing
- information extraction
- feature selection