A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation

PetrĂ´nio L. Braga, Adriano L. I. Oliveira, Silvio R. L. Meira. A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation. In Roger L. Wainwright, Hisham Haddad, editors, Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), Fortaleza, Ceara, Brazil, March 16-20, 2008. pages 1788-1792, ACM, 2008. [doi]

@inproceedings{BragaOM08,
  title = {A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation},
  author = {PetrĂ´nio L. Braga and Adriano L. I. Oliveira and Silvio R. L. Meira},
  year = {2008},
  doi = {10.1145/1363686.1364116},
  url = {http://doi.acm.org/10.1145/1363686.1364116},
  tags = {optimization, rule-based},
  researchr = {https://researchr.org/publication/BragaOM08},
  cites = {0},
  citedby = {0},
  pages = {1788-1792},
  booktitle = {Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), Fortaleza, Ceara, Brazil, March 16-20, 2008},
  editor = {Roger L. Wainwright and Hisham Haddad},
  publisher = {ACM},
  isbn = {978-1-59593-753-7},
}