Ensemblator: An ensemble of classifiers for reliable classification of biological data

@article{Nanni2007EnsemblatorAE,
  title={Ensemblator: An ensemble of classifiers for reliable classification of biological data},
  author={Loris Nanni and Alessandra Lumini},
  journal={Pattern Recognition Letters},
  year={2007},
  volume={28},
  pages={622-630}
}
This paper studies the problem of building a machine learning method for biological data. Various feature selection methods and classifier design strategies have been generally used and compared. However, most published articles have applied a certain technique to a certain dataset, and recently several researchers compared these techniques based on several public datasets. We propose an ensemble of classifiers that combine a linear classifier, linear support vector machine, a non-linear… CONTINUE READING
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