Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning.
Tong WangJingyi YangYunyi LiBoxiang WangPublished in: CoRR (2021)
Keyphrases
- black box
- machine learning
- black boxes
- white box
- integration testing
- hybrid systems
- data mining
- test cases
- rule extraction
- feature selection
- machine learning methods
- case study
- neural network
- supervised learning
- text mining
- computational intelligence
- test set
- classification rules
- inductive learning
- state transition
- decision trees
- learning algorithm