Binary Fish School Search applied to feature selection: Application to ICU readmissions

@article{Sargo2014BinaryFS,
  title={Binary Fish School Search applied to feature selection: Application to ICU readmissions},
  author={Joao A. G. Sargo and Susana M. Vieira and Jo{\~a}o Miguel da Costa Sousa and Carmelo J. A. Bastos Filho},
  journal={2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
  year={2014},
  pages={1366-1373}
}
This paper proposes a novel feature selection approach formulated based on the Fish School Search (FSS) optimization algorithm, intended to cope with premature convergence. In order to use this population based optimization algorithm in feature selection problems, we propose the use of a binary encoding scheme for the internal mechanisms of the fish school search, emerging the binary fish school search (BFSS). The suggested algorithm was combined with fuzzy modeling in a wrapper approach for… CONTINUE READING
Highly Cited
This paper has 19 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 24 references

F

  • C. J. A B. Filho
  • B. L. Neto, A. J. C. C. Lins, A. I. S. Nascimento…
  • 2008
Highly Influential
3 Excerpts

Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)

  • I.Guyon, S. Gunn, M. Nikravesh, L. A. Zadeh, editors
  • 2006
3 Excerpts

Similar Papers

Loading similar papers…