Learning Qualitatively Diverse and Interpretable Rules for Classification.
Andrew Slavin RossWeiwei PanFinale Doshi-VelezPublished in: CoRR (2018)
Keyphrases
- supervised learning
- classification rules
- learning algorithm
- unsupervised learning
- structured output
- learning rules
- learning process
- discriminative learning
- machine learning
- knowledge acquisition
- online learning
- background knowledge
- pattern recognition
- rule sets
- multi category
- rule learning
- incremental learning
- text classification
- human experts
- learning tasks
- decision rules
- learning systems
- classification accuracy
- preprocessing
- learning problems
- training set
- automatic classification
- learning scheme
- feature vectors
- active learning
- support vector
- rule generation
- feature extraction
- decision lists