A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing.
Navdeep GillPatrick HallKim MontgomeryNicholas SchmidtPublished in: Inf. (2020)
Keyphrases
- machine learning
- post hoc
- machine learning approaches
- feature selection
- neural network
- learning systems
- explanation based learning
- statistical models
- model selection
- learning algorithm
- decision trees
- pattern recognition
- petri net
- statistical methods
- classification models
- data mining
- markov random field
- control flow
- software testing
- computer vision
- learning models
- statistical model
- complex systems
- active learning
- knowledge acquisition
- text classification