at Google ScholarTitle data
Christmann, Andreas ; Fischer, Paul ; Joachims, Thorsten:
Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications.
In: Computational Statistics.
Vol. 17
(2002)
Issue 2
.
- pp. 273-287.
ISSN 0943-4062
DOI: https://doi.org/10.1007/s001800200106
Official URL: 
Project information
| Project title: |
Project's official title Project's id SFB 475: Komplexitätsreduktion in multivariaten Datenstrukturen 5481508 |
|---|---|
| Project financing: |
Deutsche Forschungsgemeinschaft |
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics and Machine Learning Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics and Machine Learning > Chair Mathematics VII - Stochastics and mashine learning - Univ.-Prof. Dr. Andreas Christmann Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 500 Science > 510 Mathematics |
| Date Deposited: | 20 Oct 2015 07:17 |
| Last Modified: | 13 Aug 2025 13:33 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/20558 |