Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification.
Jiawei WuWenhan XiongWilliam Yang WangPublished in: EMNLP/IJCNLP (1) (2019)
Keyphrases
- meta learning
- learning tasks
- inductive learning
- multi label
- learning algorithm
- learning process
- multi label classification
- active learning
- unsupervised learning
- machine learning
- model selection
- text categorization
- reinforcement learning
- learning problems
- feature selection
- prior knowledge
- data mining
- knowledge acquisition
- support vector
- feature extraction
- decision trees