Determination of the spread parameter in the Gaussian kernel for classification and regression.
Wenjian WangZongben XuWeizhen LuXiaoyun ZhangPublished in: Neurocomputing (2003)
Keyphrases
- gaussian kernel
- support vector machine
- reproducing kernel hilbert space
- scale space
- support vector
- pattern recognition
- machine learning
- decision trees
- classification accuracy
- model selection
- optimal parameters
- kernel methods
- rbf network
- kernel function
- support vector machine svm
- regression model
- feature vectors
- support vector regression
- supervised learning
- training data
- cross validation
- dimensionality reduction
- pairwise
- genetic algorithm
- neural network