Stopping criterion for active learning based on deterministic generalization bounds.
Hideaki IshibashiHideitsu HinoPublished in: AISTATS (2020)
Keyphrases
- generalization bounds
- stopping criterion
- active learning
- statistical learning theory
- learning theory
- data dependent
- generalization ability
- model selection
- convergence rate
- learning problems
- ranking algorithm
- learning algorithm
- vc dimension
- cost function
- linear classifiers
- machine learning
- region merging
- supervised learning
- random sampling
- sample complexity
- kernel machines
- learning process
- labeled data
- generalization error
- semi supervised learning
- multi class
- statistical learning
- bp neural network
- ranking functions
- training examples
- support vector machine svm
- unlabeled data
- relevance feedback
- region growing
- support vector machine
- transfer learning
- svm classifier