Evolutionary approaches for pooling classifier ensembles: Performance evaluation

@article{Stefano2013EvolutionaryAF,
  title={Evolutionary approaches for pooling classifier ensembles: Performance evaluation},
  author={Claudio De Stefano and Antonio Della Cioppa and Angelo Marcelli},
  journal={2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)},
  year={2013},
  pages={309-314}
}
We introduce a multiple classifier system that incorporates an Evolutionary Algorithm for dynamically selecting the set of classifiers to be included in the pool. The proposed technique is applicable when the classifiers provide both the class assigned to the input sample and a measure of thereliability of the classification. For each sample, the experts selected for participating in the voting rule are those whose reliability is larger than a given threshold. There are as many thresholds as… CONTINUE READING