Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning.
Kevin MillerJeff CalderPublished in: CoRR (2022)
Keyphrases
- uncertainty sampling
- active learning
- semi supervised
- experimental design
- cost sensitive
- random sampling
- query by committee
- supervised learning
- machine learning
- labeled data
- training examples
- logistic regression
- graph model
- ensemble members
- learning algorithm
- unlabeled data
- learning strategies
- misclassification costs
- empirical studies
- multi class
- learning process
- training set
- sample complexity
- data sets
- class imbalance