Uncertainty-Aware DPP Sampling for Active Learning.
Robby NevenToon GoedeméPublished in: VISIGRAPP (4: VISAPP) (2023)
Keyphrases
- active learning
- random sampling
- sampling strategies
- active sampling
- selective sampling
- sampling strategy
- sample selection
- sampling algorithm
- uncertain data
- learning strategies
- semi supervised
- machine learning
- learning algorithm
- active learning strategies
- markov chain monte carlo
- experimental design
- incomplete information
- stratified sampling
- monte carlo
- unlabeled data
- data sets
- crowd sourced
- imbalanced class distribution
- batch mode
- pool based active learning
- sampling methods
- belief functions
- class imbalance
- transfer learning
- sample size
- training examples
- labeled data
- supervised learning
- feature selection
- neural network