Active Learning for Regression Using Greedy Sampling.
Dongrui WuChin-Teng LinJian HuangPublished in: CoRR (2018)
Keyphrases
- active learning
- active sampling
- random sampling
- selective sampling
- sampling strategies
- batch mode
- feature selection
- regression model
- sample selection
- sampling algorithm
- search algorithm
- greedy algorithm
- learning strategies
- training examples
- learning algorithm
- stratified sampling
- model selection
- machine learning
- relevance feedback
- pool based active learning
- semi supervised
- linear regression
- imbalanced class distribution
- active learning strategies
- learning process
- locally weighted
- training set
- regression algorithm
- labeled data
- ridge regression
- locally optimal
- sampling strategy
- simple linear
- sampling methods
- search space
- minority class
- regression function
- support vector
- training data
- e learning
- class imbalance
- dynamic programming
- support vector machine
- supervised learning
- biased sampling
- imbalanced data classification