From regression to classification in support vector machines.
Massimiliano PontilRyan M. RifkinTheodoros EvgeniouPublished in: ESANN (1999)
Keyphrases
- support vector
- learning machines
- classification accuracy
- support vector machine
- large margin classifiers
- cross validation
- svm classifier
- feature selection
- model selection
- mercer kernels
- maximum margin
- kernel methods
- svm classification
- generalization ability
- regression model
- text classification
- regression problems
- support vector regression
- kernel function
- neural network
- maximum entropy discrimination
- sequential minimal optimization
- feature extraction
- decision function
- radial basis function
- linear discriminant analysis
- classification method
- support vector machine svm
- loss function
- training examples
- gaussian processes
- feature space
- multi class classification
- pattern recognition
- classification models
- regression method
- gaussian kernels
- soft margin
- multi variate
- numeric values