Using Prior Knowledge to Improve the Performance of an Estimation of Distribution Algorithm Applied to Feature Selection

Leonardo R. Emmendorfer, Rodrigo Traleski, Aurora Trinidad Ramirez Pozo. Using Prior Knowledge to Improve the Performance of an Estimation of Distribution Algorithm Applied to Feature Selection. In Nadia Nedjah, Luiza de Macedo Mourelle, Ajith Abraham, Mario Köppen, editors, 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 6.9 November 2005, Rio de Janeiro, Brazil. pages 393-398, IEEE Computer Society, 2005. [doi]

@inproceedings{EmmendorferTP05,
  title = {Using Prior Knowledge to Improve the Performance of an Estimation of Distribution Algorithm Applied to Feature Selection},
  author = {Leonardo R. Emmendorfer and Rodrigo Traleski and Aurora Trinidad Ramirez Pozo},
  year = {2005},
  doi = {10.1109/ICHIS.2005.106},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2005.106},
  researchr = {https://researchr.org/publication/EmmendorferTP05},
  cites = {0},
  citedby = {0},
  pages = {393-398},
  booktitle = {5th International Conference on Hybrid Intelligent Systems (HIS 2005), 6.9 November 2005, Rio de Janeiro, Brazil},
  editor = {Nadia Nedjah and Luiza de Macedo Mourelle and Ajith Abraham and Mario Köppen},
  publisher = {IEEE Computer Society},
  isbn = {0-7695-2457-5},
}