Active Learning with Interpretable Predictor.
Yusuke TaguchiKeisuke KameyamaHideitsu HinoPublished in: IJCNN (2019)
Keyphrases
- active learning
- learning algorithm
- neural network
- machine learning
- learning strategies
- semi supervised
- supervised learning
- online learning
- training examples
- selective sampling
- random sampling
- active learning strategies
- semi supervised learning
- pool based active learning
- class imbalance
- classification rules
- sample complexity
- learning process
- modular neural network
- batch mode active learning
- prediction scheme
- imbalanced data classification
- generalization error
- linear predictors
- search engine
- unlabeled data
- training set