A second-order cone programming formulation for twin support vector machines.
Sebastián MaldonadoJulio LópezMiguel CarrascoPublished in: Appl. Intell. (2016)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- semidefinite programming
- quadratic programming
- convex optimization
- multi class
- feature selection
- kernel methods
- generalization bounds
- classification accuracy
- logistic regression
- support vector machine
- generalization ability
- interior point methods
- maximum margin
- loss function
- svm classifier
- machine learning
- kernel function
- hyperplane
- special case
- learning algorithm
- decision function
- data points
- scheduling problem
- optimization procedure
- ls svm
- linear discriminant analysis