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On robust properties of convex risk minimization methods for pattern recognition

Title data

Christmann, Andreas ; Steinwart, Ingo:
On robust properties of convex risk minimization methods for pattern recognition.
In: Journal of Machine Learning Research. Vol. 5 (2004) . - pp. 1007-1034.
ISSN 1533-7928

Official URL: Volltext

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: AdaBoost; loss function; influence function; kernel; logistic regression;
robustness; sensitivity curve; statistical learning; support vector machine;
total variation
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: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 310 Statistics
500 Science > 510 Mathematics
Date Deposited: 20 Oct 2015 08:38
Last Modified: 20 Oct 2015 08:38
URI: https://eref.uni-bayreuth.de/id/eprint/20565