Inconsistency-based active learning for support vector machines.
Ran WangSam KwongDegang ChenPublished in: Pattern Recognit. (2012)
Keyphrases
- active learning
- support vector
- learning machines
- large margin classifiers
- training examples
- generalization error
- hyperplane
- version space
- cross validation
- generalization ability
- semi supervised
- learning process
- classification accuracy
- selective sampling
- random sampling
- sample complexity
- experimental design
- kernel function
- loss function
- learning algorithm
- active learning strategies
- logistic regression
- labeled data
- crowd sourced
- binary classification
- batch mode
- transfer learning
- learning strategies
- unlabeled data
- supervised learning
- machine learning
- feature selection
- knowledge base
- sample selection
- training set
- decision function
- support vector machine
- multi class
- maximum margin
- cost sensitive
- model selection
- ls svm
- data sets
- kernel methods
- linear discriminant analysis
- radial basis function