A genetic-based approach to features selection for ensembles using a hybrid and adaptive fitness function

@article{Canuto2012AGA,
  title={A genetic-based approach to features selection for ensembles using a hybrid and adaptive fitness function},
  author={Anne M. P. Canuto and Diego Silveira Costa Nascimento},
  journal={The 2012 International Joint Conference on Neural Networks (IJCNN)},
  year={2012},
  pages={1-8}
}
Recent researches on feature selection have been conducted in an attempt to find efficient methods for automatic selection of relevant features. The idea is to select a subset of attributes which are as representative as possible of the original data. Committees of classifiers, also known as ensemble systems, are composed of individual classifiers, organized in a parallel way and their output are combined in a combination method, which provides the final output of the system. In the context of… CONTINUE READING

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