Eastwood, M. and Gabrys, B., 2008. Building Combined Classifiers. In: Nguyen, N.T., Kolaczek, G. and Gabrys, B., eds. Knowledge Processing and Reasoning for Information Society. Warsaw, Poland: EXIT Publishing House, 139-163.
Full text available as:
|
PDF
Eastwood_Gabrys_INYS2008.pdf 486kB | |
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
This chapter covers different approaches that may be taken when building an ensemble method, through studying specific examples of each approach from research conducted by the authors. A method called Negative Correlation Learning illustrates a decision level combination approach with individual classifiers trained co-operatively. The Model level combination paradigm is illustrated via a tree combination method. Finally, another variant of the decision level paradigm, with individuals trained independently instead of co-operatively, is discussed as applied to churn prediction in the telecommunications industry.
Item Type: | Book Section |
---|---|
ISBN: | 978-83-60434-38-3 |
Group: | Faculty of Science & Technology |
ID Code: | 8501 |
Deposited By: | INVALID USER |
Deposited On: | 19 Dec 2008 19:01 |
Last Modified: | 14 Mar 2022 13:19 |
Downloads
Downloads per month over past year
Repository Staff Only - |