Kernel PCA for Feature Extraction and De-Noising in Non-Linear Regression

Girolami, M. (2001) Kernel PCA for Feature Extraction and De-Noising in Non-Linear Regression. Neural Computing and Applications, 10(3), pp. 231-243.

Full text not currently available from Enlighten.


Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Girolami, Prof Mark
Authors: Girolami, M.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Neural Computing and Applications

University Staff: Request a correction | Enlighten Editors: Update this record