Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach.
Jonas SchulzRafael PoyiadziRaúl Santos-RodríguezPublished in: CoRR (2021)
Keyphrases
- ordinal scale
- qualitative decision theory
- uncertain data
- reinforcement learning
- information systems
- feature selection
- knowledge base
- image processing
- decision trees
- real time
- expert systems
- domain knowledge
- artificial intelligence
- belief functions
- probability theory
- uncertain information
- inherent uncertainty
- machine learning
- data sets