Scalable Rule-Based Representation Learning for Interpretable Classification.
Zhuo WangWei ZhangNing LiuJianyong WangPublished in: NeurIPS (2021)
Keyphrases
- supervised learning
- feature construction
- learning phase
- pattern recognition
- learning process
- image classification
- unsupervised learning
- data driven
- multi category
- visual representation
- classification rules
- learning algorithm
- dynamic bayesian networks
- inductive inference
- automatic classification
- statistical learning
- training samples
- feature vectors
- machine learning
- learning systems
- learning tasks
- benchmark datasets
- support vector machine
- classification accuracy
- preprocessing
- discriminative learning
- feature selection
- structured output