Combined Kernel Function Approach in SVM for Diagnosis of Cancer.

Ha-Nam Nguyen Syng-Yup Ohn Jaehyun Park Kyu-Sik Park

Published 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