Active Learning by Greedy Split and Label Exploration.
Alyssa HerbstBert HuangPublished in: CoRR (2019)
Keyphrases
- labeled instances
- active learning
- unlabeled instances
- exploration exploitation
- labeled data
- active exploration
- label noise
- unlabeled data
- batch mode
- active learning framework
- greedy algorithm
- labeling effort
- semi supervised
- random sampling
- supervised learning
- training examples
- training set
- search algorithm
- selective sampling
- machine learning
- active learner
- learning strategies
- dynamic programming
- sample selection
- class labels
- class imbalance
- image labeling
- search strategies
- transfer learning
- greedy heuristic
- labeled examples
- learning process
- feature selection
- multi label learning
- worst case
- search space
- objective function
- learning algorithm