Empirical Inference Article 2005

Experimentally optimal v in support vector regression for different noise models and parameter settings

Author(s): Chalimourda, A. and Schölkopf, B. and Smola, AJ.
Journal: Neural Networks
Volume: 18
Number (issue): 2
Pages: 205-205
Year: 2005
Month: March
Day: 0
Bibtex Type: Article (article)
DOI: 10.1016/j.neunet.2004.11.001
Digital: 0
Electronic Archiving: grant_archive
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik
Links:

BibTex

@article{4679,
  title = {Experimentally optimal v in support vector regression for different noise models and parameter settings},
  journal = {Neural Networks},
  volume = {18},
  number = {2},
  pages = {205-205},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = mar,
  year = {2005},
  slug = {4679},
  author = {Chalimourda, A. and Sch{\"o}lkopf, B. and Smola, AJ.},
  month_numeric = {3}
}