Generalization performance of nu-support vector classifier based on conditional value-at-risk minimization.
Akiko TakedaPublished in: Neurocomputing (2009)
Keyphrases
- support vector
- learning machines
- generalization ability
- kernel function
- large margin classifiers
- objective function
- feature selection
- support vector machine
- logistic regression
- svm classifier
- neural network
- binary classification
- hyperplane
- cross validation
- database
- classification accuracy
- training data
- model selection
- information systems
- dimensionality reduction
- ls svm
- regularization term
- soft margin
- real time