p-Margin Kernel Learning Machine with Magnetic Field Effect for Both Binary Classification and Novelty Detection.
Jianwen TaoShitong WangWenjun HuWenhao YingPublished in: Int. J. Softw. Informatics (2010)
Keyphrases
- binary classification
- learning machines
- support vector
- novelty detection
- magnetic field
- generalization error
- kernel function
- kernel methods
- learning problems
- support vector machine
- cross validation
- feature selection
- concept drift
- sample complexity
- classification accuracy
- supervised learning
- loss function
- upper bound
- active learning
- generalization ability
- model selection
- training examples
- multi class
- svm classifier
- machine learning
- objective function
- learning algorithm