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

2005

Article

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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

Department(s): Empirical Inference
Bibtex Type: Article (article)

Digital: 0
DOI: 10.1016/j.neunet.2004.11.001
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF

BibTex

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