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

Cite

Text

Zenobi and Cunningham. "Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error." European Conference on Machine Learning, 2001. doi:10.1007/3-540-44795-4_49

Markdown

[Zenobi and Cunningham. "Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error." European Conference on Machine Learning, 2001.](https://mlanthology.org/ecmlpkdd/2001/zenobi2001ecml-using/) doi:10.1007/3-540-44795-4_49

BibTeX

@inproceedings{zenobi2001ecml-using,
  title     = {{Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error}},
  author    = {Zenobi, Gabriele and Cunningham, Padraig},
  booktitle = {European Conference on Machine Learning},
  year      = {2001},
  pages     = {576-587},
  doi       = {10.1007/3-540-44795-4_49},
  url       = {https://mlanthology.org/ecmlpkdd/2001/zenobi2001ecml-using/}
}