High-Dimensional Penalized Bernstein Support Vector Machines.
Rachid KharoubiAbdallah MkhadriKarim OualkachaPublished in: CoRR (2023)
Keyphrases
- high dimensional
- support vector
- learning machines
- large margin classifiers
- loss function
- variable selection
- kernel function
- cross validation
- least squares
- maximum likelihood
- low dimensional
- model selection
- support vector machine
- high dimensional data
- logistic regression
- high dimensionality
- kernel methods
- ls svm
- sparse data
- dimensionality reduction
- classification accuracy
- multi class classification
- generalization ability
- parameter space
- training examples
- nearest neighbor
- high dimensional problems
- binary classification
- feature selection
- data points
- linear discriminant analysis
- multi dimensional
- hyperplane
- input space
- support vector regression
- metric space
- noisy data
- dimension reduction
- parallel machines
- feature space
- microarray data
- maximum margin
- high dimensional datasets
- similarity search