Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification.
Jiawei WuWenhan XiongWilliam Yang WangPublished in: CoRR (2019)
Keyphrases
- feature extraction
- meta learning
- learning tasks
- inductive learning
- feature selection
- image classification
- multi label classification
- multi label
- learning problems
- model selection
- unsupervised learning
- learning algorithm
- learning process
- active learning
- decision trees
- knowledge acquisition
- machine learning algorithms
- machine learning
- prior knowledge
- supervised learning
- reinforcement learning
- text categorization
- image processing
- real world