Optimization of combined kernel function for SVM based on large margin learning theory.
Mingzhu LuC. L. Philip ChenJianbing HuoXizhao WangPublished in: SMC (2008)
Keyphrases
- learning theory
- kernel function
- support vector
- support vector machine
- reproducing kernel hilbert space
- kernel methods
- kernel machines
- hyperplane
- svm classifier
- input space
- svm classification
- computational learning theory
- kernel matrix
- generalization bounds
- feature space
- optimal kernel
- maximum margin
- high dimensional feature space
- positive semi definite
- kernel learning
- training examples
- dot product
- support vectors
- cross validation
- high dimensional
- kernel matrices
- feature selection
- generalization ability
- support vector machine svm
- classification accuracy
- learning machines
- learning problems
- training set
- gaussian kernels
- machine learning