High-dimensional penalized Bernstein support vector classifier.
Rachid KharoubiAbdallah MkhadriKarim OualkachaPublished in: Comput. Stat. (2024)
Keyphrases
- support vector
- high dimensional
- loss function
- svm classifier
- support vector machine
- kernel function
- feature space
- feature selection
- variable selection
- training examples
- training data
- decision function
- binary classification
- classification accuracy
- training samples
- least squares
- maximum margin
- low dimensional
- dimensionality reduction
- support vectors
- generalization ability
- soft margin
- hyperplane
- kernel methods
- cross validation
- logistic regression
- model selection
- large margin classifiers
- training set
- input space
- reduced set
- sparse data
- similarity search
- decision functions
- data points
- feature ranking
- linear discriminant analysis
- ls svm
- classification method
- parameter space
- radial basis function
- multi class classification
- linear classifiers
- high dimensional feature space
- classification algorithm
- high dimensionality