CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples.
Guoxian YuXia ChenCarlotta DomeniconiJun WangZhao LiZili ZhangXiangliang ZhangPublished in: IEEE Trans. Knowl. Data Eng. (2022)
Keyphrases
- cost effective
- multi label
- active learning
- multi label classification
- text categorization
- graph cuts
- binary classification
- class labels
- low cost
- image classification
- multi instance
- cost effectiveness
- semi supervised
- text classification
- databases
- image annotation
- unlabeled data
- multi label learning
- query language
- labeled data
- semi supervised learning
- supervised learning
- training examples
- learning process
- multiple labels
- label space
- machine learning
- hierarchical text categorization
- protein function prediction
- small number
- relevance feedback
- image segmentation
- learning algorithm
- multi modal
- higher order
- feature selection
- data mining
- neural network
- data sets
- real time