Achieving Minimax Rates in Pool-Based Batch Active Learning.
Claudio GentileZhilei WangTong ZhangPublished in: ICML (2022)
Keyphrases
- active learning
- batch mode
- batch mode active learning
- batch size
- learning algorithm
- semi supervised
- random sampling
- supervised learning
- training examples
- training set
- incremental learning
- labeled data
- active learning strategies
- active learner
- worst case
- pool based active learning
- semi supervised learning
- learning strategies
- online algorithms
- machine learning
- selective sampling
- imbalanced data classification
- cost sensitive
- evaluation function
- unlabeled data
- learning process
- data mining
- alpha beta
- version space
- batch processing
- quality prediction
- image quality
- annotation effort
- search algorithm
- music emotion classification