Support Vector Machines: A Comparison of Some Kernel Functions.
Davide AnguitaAndrea BoniSandro RidellaPublished in: IIA/SOCO (1999)
Keyphrases
- kernel function
- support vector
- large margin classifiers
- learning machines
- kernel methods
- feature space
- input space
- high dimensional
- support vector machine
- hyperplane
- kernel matrix
- support vectors
- kernel parameters
- support vector regression
- svm classifier
- kernel learning
- reproducing kernel hilbert space
- loss function
- cross validation
- special case
- high dimensional feature space
- binary classification
- svm classification
- polynomial kernels
- image processing
- maximum margin
- data sets
- training set
- kernel machines
- pairwise
- training examples
- machine learning