Scalable Rule-Based Representation Learning for Interpretable Classification.
Zhuo WangWei ZhangNing LiuJianyong WangPublished in: CoRR (2021)
Keyphrases
- incremental learning
- learning process
- learning algorithm
- supervised learning
- text classification
- pattern recognition
- statistical learning
- online learning
- unsupervised learning
- learning tasks
- feature selection
- feature representation
- feature construction
- feature vectors
- automatic classification
- prior knowledge
- decision trees
- learning systems
- learning phase
- learning problems
- discriminative learning
- multi category
- machine learning
- structured output
- background knowledge
- model selection
- expert systems
- preprocessing
- support vector