Support Vector Machines (SVMs) with Universal Kernels.
E. A. ZanatyAshraf AfifiPublished in: Appl. Artif. Intell. (2011)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- kernel function
- sparse kernel
- multi class
- kernel methods
- support vector machine
- multiple kernel learning
- logistic regression
- maximum margin
- binary classification
- generalization bounds
- polynomial kernels
- kernel machines
- support vectors
- support vector regression
- classification accuracy
- radial basis function
- number of support vectors
- loss function
- generalization ability
- feature selection
- soft margin
- cross validation
- hyperplane
- reduced set
- training examples
- turing machine
- kernel parameters
- linear svm
- margin maximization
- decision function
- rbf kernel
- linear combination
- learning algorithm