Committees of Adaboost ensembles with modified emphasis functions

@article{GmezVerdejo2010CommitteesOA,
  title={Committees of Adaboost ensembles with modified emphasis functions},
  author={Vanessa G{\'o}mez-Verdejo and Jer{\'o}nimo Arenas-Garc{\'i}a and An{\'i}bal R. Figueiras-Vidal},
  journal={Neurocomputing},
  year={2010},
  volume={73},
  pages={1289-1292}
}
Real Adaboost ensembles with weighted emphasis (RA-we) on erroneous and critical (near the classification boundary) samples have recently been proposed, leading to improved performance when an adequate combination of these terms is selected. However, finding the optimal emphasis adjustment is not an easy task. In this paper, we propose to make a fusion of the outputs of RA-we ensembles trained with different emphasis adjustments by means of a generalized voting scheme. The resulting committee… CONTINUE READING

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