 | 2012 |
| 15 |  | Andreas Christmann,
Robert Hable:
Consistency of support vector machines using additive kernels for additive models.
Computational Statistics & Data Analysis 56(4): 854-873 (2012) |
| 2011 |
| 14 |  | Robert Hable,
Andreas Christmann:
On qualitative robustness of support vector machines.
J. Multivariate Analysis 102(6): 993-1007 (2011) |
| 2010 |
| 13 |  | Andreas Christmann,
Ingo Steinwart:
Universal Kernels on Non-Standard Input Spaces.
NIPS 2010: 406-414 |
| 12 |  | Arnout Van Messem,
Andreas Christmann:
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions.
Adv. Data Analysis and Classification 4(2-3): 199-220 (2010) |
| 11 |  | Michiel Debruyne,
Andreas Christmann,
Mia Hubert,
Johan A. K. Suykens:
Robustness of reweighted Least Squares Kernel Based Regression.
J. Multivariate Analysis 101(2): 447-463 (2010) |
| 2009 |
| 10 |  | Ingo Steinwart,
Andreas Christmann:
Fast Learning from Non-i.i.d. Observations.
NIPS 2009: 1768-1776 |
| 2008 |
| 9 |  | Ingo Steinwart,
Andreas Christmann:
Sparsity of SVMs that use the epsilon-insensitive loss.
NIPS 2008: 1569-1576 |
| 8 |  | Andreas Christmann,
Arnout Van Messem:
Bouligand Derivatives and Robustness of Support Vector Machines for Regression.
Journal of Machine Learning Research 9: 915-936 (2008) |
| 2007 |
| 7 |  | Andreas Christmann,
Ingo Steinwart:
How SVMs can estimate quantiles and the median.
NIPS 2007 |
| 6 |  | B. Vandewalle,
J. Beirlant,
Andreas Christmann,
Mia Hubert:
A robust estimator for the tail index of Pareto-type distributions.
Computational Statistics & Data Analysis 51(12): 6252-6268 (2007) |
| 5 |  | Andreas Christmann,
Ingo Steinwart,
Mia Hubert:
Robust learning from bites for data mining.
Computational Statistics & Data Analysis 52(1): 347-361 (2007) |
| 2004 |
| 4 |  | Andreas Christmann:
On a Combination of Convex Risk Minimization Methods.
GfKl 2004: 434-441 |
| 3 |  | Andreas Christmann,
Ingo Steinwart:
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition.
Journal of Machine Learning Research 5: 1007-1034 (2004) |
| 2003 |
| 2 |  | Peter J. Rousseeuw,
Andreas Christmann:
Robustness against separation and outliers in logistic regression.
Computational Statistics & Data Analysis 43(3): 315-332 (2003) |
| 1997 |
| 1 |  | Andreas Christmann,
Günter Schwichtenberg:
KIT200x - Eine Expertenumfrage über die Zukunft der Kommunikations- und Informationstechnik jenseits der Jahrtausendwende.
GI-Fachtagung über Rechenzentren 1997: 1-26 |