An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression.

Jean Feng Noah Simon

Published in: CoRR (2019)

Keyphrases

parameter selection
model selection
least squares
machine learning
data analysis
regression model
feature selection
image processing
linear combination
kernel methods
incremental learning
adaptive regularization
kernel ridge regression