An effective semi-cross-validation model selection method for extreme learning machine with ridge regression.

Zhifei Shao Meng Joo Er Ning Wang

Published in: Neurocomputing (2015)

Keyphrases

cross validation
model selection
hyperparameters
variable selection
information criterion
parameter estimation
support vector
ls svm
generalization error
sample size
ridge regression
regression model
machine learning
gaussian process
feature selection
linear regression
em algorithm
training set
feature extraction