DBLP: Andreas Christmann

	2013
i1		Andreas Christmann, Robert Hable: On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods. CoRR abs/1301.6944 (2013)
	2012
j9		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
j8		Robert Hable, Andreas Christmann: On qualitative robustness of support vector machines. J. Multivariate Analysis 102(6): 993-1007 (2011)
	2010
j7		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)
j6		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)
c6		Andreas Christmann, Ingo Steinwart: Universal Kernels on Non-Standard Input Spaces. NIPS 2010: 406-414
	2009
c5		Ingo Steinwart, Andreas Christmann: Fast Learning from Non-i.i.d. Observations. NIPS 2009: 1768-1776
	2008
j5		Andreas Christmann, Arnout Van Messem: Bouligand Derivatives and Robustness of Support Vector Machines for Regression. Journal of Machine Learning Research 9: 915-936 (2008)
c4		Ingo Steinwart, Andreas Christmann: Sparsity of SVMs that use the epsilon-insensitive loss. NIPS 2008: 1569-1576
	2007
j4		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)
j3		Andreas Christmann, Ingo Steinwart, Mia Hubert: Robust learning from bites for data mining. Computational Statistics & Data Analysis 52(1): 347-361 (2007)
c3		Andreas Christmann, Ingo Steinwart: How SVMs can estimate quantiles and the median. NIPS 2007
	2004
j2		Andreas Christmann, Ingo Steinwart: On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition. Journal of Machine Learning Research 5: 1007-1034 (2004)
c2		Andreas Christmann: On a Combination of Convex Risk Minimization Methods. GfKl 2004: 434-441
	2003
j1		Peter J. Rousseeuw, Andreas Christmann: Robustness against separation and outliers in logistic regression. Computational Statistics & Data Analysis 43(3): 315-332 (2003)
	1997
c1		Andreas Christmann, Günter Schwichtenberg: KIT200x - Eine Expertenumfrage über die Zukunft der Kommunikations- und Informationstechnik jenseits der Jahrtausendwende. GI-Fachtagung über Rechenzentren 1997: 1-26

2013

Andreas Christmann, Robert Hable: On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods. CoRR abs/1301.6944 (2013)

2012

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

Robert Hable, Andreas Christmann: On qualitative robustness of support vector machines. J. Multivariate Analysis 102(6): 993-1007 (2011)

2010

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)

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)

Andreas Christmann, Ingo Steinwart: Universal Kernels on Non-Standard Input Spaces. NIPS 2010: 406-414

2009

Ingo Steinwart, Andreas Christmann: Fast Learning from Non-i.i.d. Observations. NIPS 2009: 1768-1776

2008

Andreas Christmann, Arnout Van Messem: Bouligand Derivatives and Robustness of Support Vector Machines for Regression. Journal of Machine Learning Research 9: 915-936 (2008)

Ingo Steinwart, Andreas Christmann: Sparsity of SVMs that use the epsilon-insensitive loss. NIPS 2008: 1569-1576

2007

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)

Andreas Christmann, Ingo Steinwart, Mia Hubert: Robust learning from bites for data mining. Computational Statistics & Data Analysis 52(1): 347-361 (2007)

Andreas Christmann, Ingo Steinwart: How SVMs can estimate quantiles and the median. NIPS 2007

2004

Andreas Christmann, Ingo Steinwart: On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition. Journal of Machine Learning Research 5: 1007-1034 (2004)

Andreas Christmann: On a Combination of Convex Risk Minimization Methods. GfKl 2004: 434-441

2003

Peter J. Rousseeuw, Andreas Christmann: Robustness against separation and outliers in logistic regression. Computational Statistics & Data Analysis 43(3): 315-332 (2003)

1997

Andreas Christmann, Günter Schwichtenberg: KIT200x - Eine Expertenumfrage über die Zukunft der Kommunikations- und Informationstechnik jenseits der Jahrtausendwende. GI-Fachtagung über Rechenzentren 1997: 1-26

1	J. Beirlant	[j4]
2	Michiel Debruyne	[j6]
3	Robert Hable	[i1] [j9] [j8]
4	Mia Hubert	[j6] [j4] [j3]
5	Arnout Van Messem	[j7] [j5]
6	Peter Rousseeuw (Peter J. Rousseeuw)	[j1]
7	Günter Schwichtenberg	[c1]
8	Ingo Steinwart	[c6] [c5] [c4] [j3] [c3] [j2]
9	Johan A. K. Suykens	[j6]
10	B. Vandewalle	[j4]

Andreas Christmann

Coauthor Index