Simultaneous feature selection and classification using kernel-penalized support vector machines.
Sebastián MaldonadoRichard WeberJayanta BasakPublished in: Inf. Sci. (2011)
Keyphrases
- feature selection and classification
- support vector
- feature selection
- large margin classifiers
- learning machines
- kernel function
- loss function
- sparse regression
- kernel methods
- kernel parameters
- kernel machines
- model selection
- multi class
- rbf kernel
- decision function
- support vector machine
- svm classifier
- cross validation
- selected features
- high dimensionality
- least squares
- polynomial kernels
- maximum margin
- classification accuracy
- feature space
- training examples
- text categorization
- maximum likelihood
- support vectors
- text classification
- feature extraction
- learning algorithm
- feature selection algorithms
- k nearest neighbor