Active learning for regression using greedy sampling.
Dongrui WuChin-Teng LinJian HuangPublished in: Inf. Sci. (2019)
Keyphrases
- active learning
- active sampling
- random sampling
- selective sampling
- sampling strategies
- batch mode
- feature selection
- sample selection
- greedy algorithm
- sampling algorithm
- machine learning
- supervised learning
- linear regression
- regression model
- semi supervised
- sampling strategy
- learning strategies
- sampling methods
- learning algorithm
- learning process
- search algorithm
- dynamic programming
- parameter space
- imbalanced class distribution
- unlabeled data
- sample size
- locally weighted
- model selection
- support vector
- regression algorithm
- imbalanced data classification
- orthogonal matching pursuit
- data sets
- greedy strategy
- biased sampling
- training set
- search space
- regression problems
- experimental design
- class imbalance
- generalization error
- monte carlo
- training examples
- labeled data