Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization.
Olvi L. MangasarianPublished in: J. Mach. Learn. Res. (2006)
Keyphrases
- convex functions
- strictly convex
- support vector
- objective function
- learning machines
- large margin classifiers
- loss function
- quasiconvex
- regularization term
- data fidelity term
- convex optimization
- norm minimization
- convex sets
- logistic regression
- cross validation
- kernel function
- support vector machine
- generalization ability
- constrained minimization
- linear program
- convex hull
- efficient optimization
- minimization problems
- feasible set
- feature selection
- piecewise linear
- multi class classification
- classification accuracy
- support vectors
- multi class
- geometric interpretation
- learning algorithm
- linearly constrained
- soft margin
- stationary points
- binary classification
- support vector regression
- radial basis function
- kernel methods
- training samples
- level set
- denoising