Majorization-Minimization for sparse SVMs.
Alessandro BenfenatiÉmilie ChouzenouxGiorgia FranchiniSalla Latva-AijoDominik NarnhoferJean-Christophe PesquetSebastian J. ScottMahsa YousefiPublished in: CoRR (2023)
Keyphrases
- sparse kernel
- support vector
- reduced set
- high dimension
- multi class
- support vector machine svm
- high dimensional
- generalization ability
- feature selection
- maximum margin
- sparse data
- support vector machine
- machine learning
- knn
- training data
- structured learning
- classification using support vector machines
- sparse coding
- sparse representation
- neural network
- kernel methods
- learning algorithm
- orthogonal matching pursuit
- support vector machine classifiers
- elastic net
- soft margin
- linear support vector machines
- face recognition
- feature extraction
- feature vectors
- majority voting
- text classification
- k nearest neighbor
- selected features
- loss function