Using the Delta Test for Variable Selection

Input selection is an important consideration in all large-scale modelling problems. We propose that using an established noise variance estimator known as the Delta test as the target to minimise can provide an effective input selection methodology. Theoretical justifications and experimental results are presented.

• Type: Conference
• Year: 2008
• Where: ESANN
• Authors: Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen
• Keywords: ESANN 2008, Input Selection, Input Selection Methodology, Neural Networks, Noise Variance Estimator