Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function.
José María VallsInés María GalvánPedro Isasi ViñuelaPublished in: Comput. Artif. Intell. (2006)
Keyphrases
- generalization ability
- kernel function
- support vector
- support vector machine
- rbf kernel
- polynomial kernels
- kernel methods
- gaussian kernels
- support vector machine svm
- ensemble learning
- input space
- svm classification
- generalization bounds
- feature space
- svm classifier
- kernel matrix
- gaussian kernel
- bp neural network
- reproducing kernel hilbert space
- feature selection
- support vector regression
- learning algorithm
- hyperplane
- high dimensional
- support vectors
- classification accuracy
- radial basis function
- cross validation
- expert systems
- kernel machines
- neural network
- genetic algorithm
- multiple kernel learning
- ls svm
- hyperparameters
- training data
- ensemble methods
- data sets
- k nearest neighbor
- feature set