Combined Kernel Function Approach in SVM for Diagnosis of Cancer.
Ha-Nam NguyenSyng-Yup OhnJaehyun ParkKyu-Sik ParkPublished in: ICNC (1) (2005)
Keyphrases
- kernel function
- support vector
- support vector machine
- kernel methods
- support vectors
- feature space
- cancer diagnosis
- svm classification
- input space
- support vector regression
- hyperplane
- positive definite
- svm classifier
- kernel parameters
- polynomial kernels
- high dimensional
- dot product
- kernel learning
- high dimensional feature space
- gaussian kernels
- data sets
- reproducing kernel hilbert space
- kernel machines
- kernel matrix
- kernel trick
- rbf kernel
- feature set
- multiple kernel learning
- generalization ability
- kernel principal component analysis
- loss function
- support vector machine svm
- classification accuracy
- positive semidefinite
- learning algorithm