Random Subspace Ensembles for fMRI Classification

@article{Kuncheva2010RandomSE,
  title={Random Subspace Ensembles for fMRI Classification},
  author={Ludmila I. Kuncheva and Juan Jos{\'e} Rodr{\'i}guez Diez and Catrin O. Plumpton and David E. J. Linden and Stephen J. Johnston},
  journal={IEEE Transactions on Medical Imaging},
  year={2010},
  volume={29},
  pages={531-542}
}
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extremely large feature-to-instance ratio. This calls for revision and adaptation of the current state-of-the-art classification methods. We investigate the suitability of the random subspace (RS) ensemble method for fMRI classification. RS samples from the original feature set and builds one (base) classifier on each… CONTINUE READING
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