This article explains how to create and use kernel ridge regression (KRR) models. Compared to other regression techniques, KRR is especially useful when there is limited training data. There are ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this regression technique, which is especially useful when there is limited training data.

Comments on variable selection procedures, model validation, and ridge and generalized inverse regression computation procedures are included. The examples studied here show that when the predictor ...