Tools
ToolsRuta, D. and Gabrys, B., 2000. An Overview of Classifier Fusion Methods. Computing and Information Systems, 7 (1), 1-10.
Full text available as:
![[img]](/style/images/fileicons/application_pdf.png)
|
PDF
CIS_2000_Ruta_Gabrys_fusion_methods_overview.pdf - Published Version 134kB | |
|
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
Abstract
A number of classifier fusion methods have been recently developed opening an alternative approach leading to a potential improvement in the classification performance. As there is little theory of information fusion itself, currently we are faced with different methods designed for different problems and producing different results. This paper gives an overview of classifier fusion methods and attempts to identify new trends that may dominate this area of research in future. A taxonomy of fusion methods trying to bring some order into the existing “pudding of diversities” is also provided.
| Item Type: | Article |
|---|---|
| ISSN: | 1352-9404 |
| Group: | Faculty of Science & Technology |
| ID Code: | 9649 |
| Deposited By: | Professor Bogdan Gabrys LEFT |
| Deposited On: | 11 Mar 2009 23:57 |
| Last Modified: | 14 Mar 2022 13:21 |
Downloads
Downloads per month over past year
| Repository Staff Only - |