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Support Vector Machines

Title 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: Volltext

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 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: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 19 Oct 2015 07:34
Last Modified: 14 Jan 2026 14:30
URI: https://eref.uni-bayreuth.de/id/eprint/20528