# NOT RUN {
data(benchmark.data)
example.data=benchmark.data[[1]]
#Load data
training.samples=sample(1:dim(example.data)[1],floor(0.7*dim(example.data)[1]),replace=FALSE)
# Split samples into training and test sets
C=1
kernels=c('radial','polynomial')
degree=c(0,2)
scale=c(0,2)
sigma=c(2,0)
K=kernels.gen(example.data[,1:2], training.samples, kernels, degree, scale, sigma)
K.train=K$K.train
SEMKL.classification(K.train,example.data[training.samples,3], C)
# }
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