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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/13279

Title: Random subspacing for regression ensembles
Author: Tsymbal, Alexey
Sponsor: Science Foundation Ireland
Keywords: Computer Science
Issue Date: 2004
Publisher: Trinity College Dublin, Department of Computer Science
Citation: Tsymbal, Alexey. 'Random subspacing for regression ensembles'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-2004-06, 2004, pp6
Series/Report no.: Computer Science Technical Report
TCD-CS-2004-06
Abstract: In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble integration methods of Stacked Regression and Dynamic Selection. We show that for simple regression methods such as global linear regression and nearest neighbours, this is a more effective method than the popular ensemble methods of Bagging and Boosting. We demonstrate that the approach can be effective even when the ensemble size is small.
URI: https://www.cs.tcd.ie/publications/tech-reports/reports.04/TCD-CS-2004-06.pdf
http://hdl.handle.net/2262/13279
Appears in Collections:Computer Science Technical Reports

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