at Google ScholarTitle data
Steinwart, Ingo ; Christmann, Andreas:
Support Vector Machines.
New York
:
Springer
,
2008
. -
601 p.
- (Information Science and Statistics
)
ISBN 978-0-387-77242-4
DOI: https://doi.org/10.1007/978-0-387-77242-4
Official URL: 
Further data
| Item Type: | Book / Monograph |
|---|---|
| Keywords: | Support Vector Machines; SVMs; statistical machine learning; statistical learning theory; kernel; RKHS; classification; regression; pattern recognition;
ERM; empirical risk minimization; regularization; loss function; risk |
| 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: | 500 Science > 510 Mathematics |
| Date Deposited: | 19 Oct 2015 07:34 |
| Last Modified: | 19 Oct 2015 07:34 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/20528 |