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Sparsity of SVMs that use the epsilon-insensitive loss

Title data

Steinwart, Ingo ; Christmann, Andreas:
Sparsity of SVMs that use the epsilon-insensitive loss.
In: Koller, Daphne ; Schuurmans, D. ; Bengio, Y. ; Bottou, L. (ed.): Advances in Neural Information Processing Systems 21. - Red Hook, NY : Curran , 2009 . - pp. 1569-1576

Official URL: Volltext

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: kernel methods; median regression; epsilon-insensitive loss function; support vector machine; sparsity; support vector regression
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
300 Social sciences > 310 Statistics
500 Science > 510 Mathematics
Date Deposited: 19 Oct 2015 07:21
Last Modified: 19 Oct 2015 07:21
URI: https://eref.uni-bayreuth.de/id/eprint/20525