Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness.
Michael HindDennis WeiYunfeng ZhangPublished in: CoRR (2020)
Keyphrases
- machine learning
- decision making
- pattern recognition
- data driven
- machine learning methods
- learning tasks
- supervised learning
- active learning
- learning algorithm
- decision makers
- decision trees
- information extraction
- electronic commerce
- text mining
- inductive learning
- learning problems
- machine learning algorithms
- artificial intelligence
- kernel methods
- knowledge acquisition
- statistical methods
- computational intelligence
- decision process
- feature selection
- database
- machine learning approaches
- explanation based learning
- making decisions
- supervised machine learning
- learning systems
- semi supervised learning
- knowledge representation
- computer science
- reinforcement learning
- case study
- search engine
- real time