Improving boosting performance with a local combination of learners
E Mayhua-López, V Gómez-Verdejo… - … Joint Conference on …, 2010 - ieeexplore.ieee.org
E Mayhua-López, V Gómez-Verdejo, AR Figueiras-Vidal
The 2010 International Joint Conference on Neural Networks (IJCNN), 2010•ieeexplore.ieee.orgThis work explores the possibility of improving the performance of Real Adaboost ensemble
classifiers by replacing their standard linear combination of learners by a gating scheme.
This more powerful fusion method is defined following the epoch-by-epoch construction of
boosting ensembles. Preliminary experimental results support the potential of this new
approach.
classifiers by replacing their standard linear combination of learners by a gating scheme.
This more powerful fusion method is defined following the epoch-by-epoch construction of
boosting ensembles. Preliminary experimental results support the potential of this new
approach.
This work explores the possibility of improving the performance of Real Adaboost ensemble classifiers by replacing their standard linear combination of learners by a gating scheme. This more powerful fusion method is defined following the epoch-by-epoch construction of boosting ensembles. Preliminary experimental results support the potential of this new approach.
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