Ellipsoidal support vector regression based on second-order cone programming.
Sebastián MaldonadoJulio LópezPublished in: Neurocomputing (2018)
Keyphrases
- support vector
- kernel function
- convex optimization
- logistic regression
- feature selection
- classification accuracy
- binary classification
- cross validation
- training examples
- decision function
- support vector machine
- loss function
- kernel methods
- hyperplane
- machine learning
- interior point methods
- databases
- learning machines
- maximum margin
- generalization ability
- linear discriminant analysis
- svm classifier
- data sets
- radial basis function
- support vector regression
- least squares
- support vectors
- bayesian networks
- social networks
- semidefinite programming
- neural network
- rbf kernel