Support vector machine and its bias correction in high-dimension, low-sample-size settings.

Yugo Nakayama Kazuyoshi Yata Makoto Aoshima

Published in: CoRR (2017)

Keyphrases

high dimension
small sample
sample size
bias correction
support vector machine
model selection
upper bound
random sampling
feature selection
worst case
hyperparameters
ls svm
machine learning
cross validation
semi supervised
feature space
generative model
support vector machine svm
svm classifier
high dimensional