Complex Support Vector Machines for Regression and Quaternary Classification.
Pantelis BouboulisSergios TheodoridisCharalampos MavroforakisLeoni Evaggelatou-DallaPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- support vector
- classification accuracy
- large margin classifiers
- learning machines
- support vector machine
- cross validation
- model selection
- generalization ability
- svm classifier
- feature selection
- feature vectors
- loss function
- pattern recognition
- kernel function
- support vectors
- structural risk minimization
- kernel methods
- real world
- logistic regression
- maximum margin
- radial basis function
- multi class classification
- binary classification
- hyperparameters
- regression problems
- support vector regression
- mercer kernels
- pattern classification
- decision rules
- benchmark datasets
- image classification
- feature extraction
- machine learning
- machine learning algorithms
- text classification
- feature space
- svm classification
- rbf kernel
- decision trees
- margin maximization
- learning algorithm