A New Perspective on Convex Relaxations of Sparse SVM.
Noam GoldbergSven LeyfferTodd S. MunsonPublished in: SDM (2013)
Keyphrases
- convex relaxation
- multiple kernel learning
- support vector machine svm
- support vector
- convex optimization
- support vector machine
- multi label
- globally optimal
- feature selection
- efficient optimization
- support vectors
- binary classification
- kernel function
- multi class
- multistage
- optimization methods
- high dimensional
- training data
- kernel methods
- linear combination
- ls svm
- feature space
- text categorization
- cost sensitive
- hyperplane
- feature extraction