Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models.
Bart HamersJohan A. K. SuykensBart De MoorPublished in: ICANN (2002)
Keyphrases
- regression model
- ls svm
- radial basis function
- positive definite
- rbf neural network
- support vector
- kernel matrix
- kernel function
- prediction model
- support vector machine
- gaussian process
- gaussian processes
- model selection
- basis functions
- neural network
- support vector machine svm
- kernel methods
- artificial neural networks
- reproducing kernel hilbert space
- least squares
- hyperparameters
- linear model
- linear combination
- feature space
- svm classifier
- variable selection
- generalization ability
- support vectors
- cross validation
- input variables
- correlation coefficient
- parameter estimation
- learning problems
- training data
- decision trees
- machine learning