Sampling Active Learning Based on Non-parallel Support Vector Machines.
Xijiong XiePublished in: Neural Process. Lett. (2021)
Keyphrases
- active learning
- support vector
- random sampling
- learning machines
- large margin classifiers
- selective sampling
- active sampling
- sampling strategies
- training examples
- sample selection
- identical machines
- kernel function
- parallel processing
- version space
- learning algorithm
- multi class
- feature selection
- parallel machines
- learning strategies
- support vector machine
- sampling algorithm
- machine learning
- maximum margin
- parallel implementation
- binary classification
- active learning strategies
- processing units
- stratified sampling
- processing times
- generalization error
- generalization ability
- loss function
- labeled data
- supervised learning
- semi supervised
- training set
- cost sensitive
- radial basis function
- kernel methods
- sampling methods
- monte carlo
- logistic regression
- relevance feedback
- classification accuracy