An approximation of the Gaussian RBF kernel for efficient classification with SVMs.
Matthias RingBjörn M. EskofierPublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- rbf kernel
- support vector
- radial basis function
- support vector machine
- support vector machine svm
- kernel function
- svm classifier
- feature space
- positive definite
- cross validation
- classification accuracy
- feature selection
- artificial neural networks
- reproducing kernel hilbert space
- generalization ability
- machine learning
- neural network
- decision trees
- basis functions
- ls svm
- knn
- training set
- loss function
- principal component analysis
- kernel methods
- multi class
- density estimation
- learning machines
- pairwise