Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.
Cynthia RudinChaofan ChenZhi ChenHaiyang HuangLesia SemenovaChudi ZhongPublished in: CoRR (2021)
Keyphrases
- fundamental principles
- machine learning
- grand challenges
- grand challenge
- theoretical framework
- technology enhanced learning
- mid term
- machine learning methods
- knowledge acquisition
- learning tasks
- information extraction
- machine learning approaches
- machine learning algorithms
- data mining
- learning algorithm
- active learning
- computer vision
- text mining
- information systems
- statistical methods
- knowledge base
- computational intelligence
- supervised learning
- knowledge representation
- feature selection
- recent advances
- inductive logic programming
- learning problems
- distributed data management
- classification rules
- decision trees
- social network analysis
- computer science
- data analysis
- learning systems
- semi supervised learning
- text classification
- knowledge discovery
- user interface
- information technology