Kernel variable selection for multicategory support vector machines.
Beomjin ParkChangyi ParkPublished in: J. Multivar. Anal. (2021)
Keyphrases
- variable selection
- support vector
- cross validation
- learning machines
- large margin classifiers
- kernel function
- kernel methods
- input variables
- model selection
- binary classifiers
- feature selection
- ls svm
- kernel parameters
- support vector machine
- kernel machines
- logistic regression
- linear models
- high dimensional
- multi class
- support vectors
- loss function
- dimension reduction
- binary classification
- classification accuracy
- generalization ability
- group lasso
- svm classifier
- high dimensional data
- hyperplane
- generalization error
- training data
- input space
- decision trees
- multiple kernel learning
- data mining
- dimensionality reduction
- pattern recognition