Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features

Cite

Text

Kabán and Durrant. "Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008. doi:10.1007/978-3-540-87479-9_56

Markdown

[Kabán and Durrant. "Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008.](https://mlanthology.org/ecmlpkdd/2008/kaban2008ecmlpkdd-learning/) doi:10.1007/978-3-540-87479-9_56

BibTeX

@inproceedings{kaban2008ecmlpkdd-learning,
  title     = {{Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features}},
  author    = {Kabán, Ata and Durrant, Robert J.},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2008},
  pages     = {580-596},
  doi       = {10.1007/978-3-540-87479-9_56},
  url       = {https://mlanthology.org/ecmlpkdd/2008/kaban2008ecmlpkdd-learning/}
}