Learning Label Independence and Relevance for Multi-Label Biomedical Text Classification.
Zihao ChenJing PengPublished in: SMC (2022)
Keyphrases
- multi label
- text classification
- learning tasks
- multi label learning
- multi label classification
- text categorization
- graph cuts
- image annotation
- image classification
- label assignment
- multiple labels
- multi instance
- binary classification
- learning problems
- max margin
- single label classification
- class labels
- feature selection
- data sets
- active learning
- learning process
- decision trees
- reinforcement learning
- hierarchical text categorization
- protein function prediction
- label space
- learning algorithm
- computer vision
- image representation
- prior knowledge
- text classifiers
- text mining
- unsupervised learning
- machine learning
- visual features
- labeled data