Zeitschrift: Journal of Machine Learning Research

C

Christmann, Andreas ; van Messem, Arnout:
Bouligand Derivatives and Robustness of Support Vector Machines for Regression.
In: Journal of Machine Learning Research. Bd. 9 (2008) Heft 6 . - S. 915-936.
ISSN 1533-7928

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

H

Hable, Robert:
Universal consistency of localized versions of regularized kernel methods.
In: Journal of Machine Learning Research. Bd. 14 (2013) Heft 1 . - S. 153-186.
ISSN 1533-7928

K

Köhler, Hannes:
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods.
In: Journal of Machine Learning Research. Bd. 25 (2024) Heft 213 . - S. 1-33.
ISSN 1533-7928

Köhler, Hannes ; Christmann, Andreas:
Total Stability of SVMs and Localized SVMs.
In: Journal of Machine Learning Research. Bd. 23 (2022) Heft 100 . - S. 1-41.
ISSN 1533-7928

M

Mollenhauer, Mattes ; Klus, Stefan ; Schütte, Christof ; Koltai, Peter:
Kernel Autocovariance Operators of Stationary Processes : Estimation and Convergence.
In: Journal of Machine Learning Research. Bd. 23 (2022) Heft 327 . - S. 1-34.
ISSN 1533-7928