at Google ScholarTitle data
Christmann, Andreas ; van Messem, Arnout:
Bouligand Derivatives and Robustness of Support Vector Machines for Regression.
In: Journal of Machine Learning Research.
Vol. 9
(2008)
Issue 6
.
- pp. 915-936.
ISSN 1533-7928
Official URL: 
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | Bouligand derivatives; empirical risk minimization; influence function; robustness; support vector machines; SVM |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics > Chair Mathematics VII - Stochastics - 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: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 500 Science > 510 Mathematics |
| Date Deposited: | 19 Oct 2015 08:27 |
| Last Modified: | 04 Apr 2016 08:44 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/20534 |