Comparing support vector machines with Gaussian kernels to radial basis function classifiers.
Bernhard SchölkopfKah Kay SungChristopher J. C. BurgesFederico GirosiPartha NiyogiTomaso A. PoggioVladimir VapnikPublished in: IEEE Trans. Signal Process. (1997)
Keyphrases
- gaussian kernels
- radial basis function
- kernel function
- support vector
- multiple kernel learning
- rbf network
- rbf neural network
- learning rate
- neural network
- multilayer perceptron
- artificial neural networks
- reproducing kernel hilbert space
- support vector machine svm
- basis functions
- support vector machine
- kernel learning
- loss function
- training data
- learning algorithm
- convergence rate
- feature selection
- least squares
- feature space
- kernel methods
- special case
- feature vectors
- feature extraction
- decision trees