Using the Delta Test for Variable Selection
Abstract
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.
Recommended Citation
E. Eirola et al., "Using the Delta Test for Variable Selection," ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, pp. 25 - 30, European Symposium on Artificial Neural Networks, Dec 2008.
Department(s)
Engineering Management and Systems Engineering
International Standard Book Number (ISBN)
978-293030708-4
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 European Symposium on Artificial Neural Networks, All rights reserved.
Publication Date
01 Dec 2008
