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FLAIRS
2004

Random Subspacing for Regression Ensembles

10 years 4 months ago
Random Subspacing for Regression Ensembles
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.
Niall Rooney, David W. Patterson, Sarab S. Anand,
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where FLAIRS
Authors Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal
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