Convex formulations of radius-margin based Support Vector Machines.
Huyen DoAlexandros KalousisPublished in: ICML (1) (2013)
Keyphrases
- support vector
- large margin classifiers
- multi class
- learning machines
- generalization bounds
- convex formulation
- generalization error
- generalization ability
- binary classification
- feature selection
- convex hull
- cross validation
- support vector machine
- convex optimization
- data dependent
- learning theory
- maximum margin
- multi class classification
- logistic regression
- learning algorithm
- training examples
- piecewise linear
- kernel function
- svm classifier
- hyperplane
- linear classifiers
- feature selection algorithms
- optimization methods
- convex functions
- radial basis function
- circular arcs
- classification accuracy
- kernel methods