Empirische Inferenz
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} }