Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets

Ajay Kumar Tanwani, Muddassar Farooq. Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets. In Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz, editors, Learning Classifier Systems - 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers. Volume 6471 of Lecture Notes in Computer Science, pages 127-144, Springer, 2009. [doi]

@inproceedings{TanwaniF09-1,
  title = {Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets},
  author = {Ajay Kumar Tanwani and Muddassar Farooq},
  year = {2009},
  doi = {10.1007/978-3-642-17508-4_9},
  url = {http://dx.doi.org/10.1007/978-3-642-17508-4_9},
  tags = {classification},
  researchr = {https://researchr.org/publication/TanwaniF09-1},
  cites = {0},
  citedby = {0},
  pages = {127-144},
  booktitle = {Learning Classifier Systems - 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers},
  editor = {Jaume Bacardit and Will N. Browne and Jan Drugowitsch and Ester Bernadó-Mansilla and Martin V. Butz},
  volume = {6471},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-17507-7},
}