Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error

Gabriele Zenobi, Padraig Cunningham. Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error. In Luc De Raedt, Peter A. Flach, editors, Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings. Volume 2167 of Lecture Notes in Computer Science, pages 576-587, Springer, 2001. [doi]

@inproceedings{ZenobiC01,
  title = {Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error},
  author = {Gabriele Zenobi and Padraig Cunningham},
  year = {2001},
  url = {http://link.springer.de/link/service/series/0558/bibs/2167/21670576.htm},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/ZenobiC01},
  cites = {0},
  citedby = {0},
  pages = {576-587},
  booktitle = {Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings},
  editor = {Luc De Raedt and Peter A. Flach},
  volume = {2167},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-42536-5},
}