A memetic approach to construct transductive discrete support vector machines.
Hubertus BrandnerStefan LessmannStefan VoßPublished in: Eur. J. Oper. Res. (2013)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- loss function
- kernel function
- cross validation
- support vector machine
- kernel methods
- logistic regression
- classification accuracy
- feature selection
- svm classifier
- finite number
- support vectors
- maximum margin
- generalization ability
- linear discriminant analysis
- differential evolution
- multi class
- neural network
- discrete geometry
- soft margin
- decision function
- binary classification
- support vector regression
- hyperplane
- unlabeled data
- data sets
- multi class classification
- multiple kernel learning
- face recognition
- kernel machines
- support vector machine svm
- radial basis function