Learning with L::q<1:: vs L::1::-Norm Regularisation with Exponentially Many Irrelevant Features

Ata Kabán, Robert J. Durrant. Learning with L::q<1:: vs L::1::-Norm Regularisation with Exponentially Many Irrelevant Features. In Walter Daelemans, Bart Goethals, Katharina Morik, editors, Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I. Volume 5211 of Lecture Notes in Computer Science, pages 580-596, Springer, 2008. [doi]

@inproceedings{KabanD08,
  title = {Learning with L::q<1:: vs L::1::-Norm Regularisation with Exponentially Many Irrelevant Features},
  author = {Ata Kabán and Robert J. Durrant},
  year = {2008},
  doi = {10.1007/978-3-540-87479-9_56},
  url = {http://dx.doi.org/10.1007/978-3-540-87479-9_56},
  researchr = {https://researchr.org/publication/KabanD08},
  cites = {0},
  citedby = {0},
  pages = {580-596},
  booktitle = {Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I},
  editor = {Walter Daelemans and Bart Goethals and Katharina Morik},
  volume = {5211},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-87478-2},
}