Exploring Representativeness and Informativeness for Active Learning.
Bo DuZengmao WangLefei ZhangLiangpei ZhangWei LiuJialie ShenDacheng TaoPublished in: CoRR (2019)
Keyphrases
- active learning
- semi supervised
- machine learning
- selective sampling
- labeled data
- experimental design
- random sampling
- learning strategies
- learning algorithm
- training examples
- pool based active learning
- active learning strategies
- sample complexity
- generalization error
- supervised learning
- relevance feedback
- training set
- cost sensitive
- databases
- unlabeled data
- semi supervised learning
- text mining
- crowd sourced
- batch mode active learning
- imbalanced data classification