Using boosting to prune bagging ensembles

@article{MartnezMuoz2007UsingBT,
  title={Using boosting to prune bagging ensembles},
  author={Gonzalo Mart{\'i}nez-Mu{\~n}oz and Alberto Su{\'a}rez},
  journal={Pattern Recognition Letters},
  year={2007},
  volume={28},
  pages={156-165}
}
Boosting is used to determine the order in which classifiers are aggregated in a bagging ensemble. Early stopping in the aggregation of the classifiers in the ordered bagging ensemble allows the identification of subensembles that require less memory for storage, classify faster and can improve the generalization accuracy of the original bagging ensemble. In all the classification problems investigated pruned ensembles with 20% of the original classifiers show statistically significant… CONTINUE READING
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