Practical selection of SVM parameters and noise estimation for SVM regression.
Vladimir CherkasskyYunqian MaPublished in: Neural Networks (2004)
Keyphrases
- support vector
- support vector machine svm
- noise estimation
- support vector machine
- knn
- feature selection
- optimal parameters
- svm classifier
- kernel methods
- kernel function
- nonlinear regression
- model selection
- feature space
- noise level
- regression model
- markov random field
- higher order
- linear regression
- ls svm
- feature vectors
- training set