Andreas Christmann
Andreas Christmann
Professor of Stochastics and Machine Learning, University of Bayreuth
Verified email at
Cited by
Cited by
Support vector machines
I Steinwart, A Christmann
Springer Science & Business Media, 2008
Robust estimation of Cronbach's alpha
A Christmann, S Van Aelst
Journal of Multivariate Analysis 97 (7), 1660-1674, 2006
Estimating conditional quantiles with the help of the pinball loss
I Steinwart, A Christmann
Cerebral ischemia detected with diffusion-weighted MR imaging after stent implantation in the carotid artery
HJ Jaeger, KD Mathias, E Hauth, R Drescher, HM Gissler, S Hennigs, ...
American journal of neuroradiology 23 (2), 200-207, 2002
Support vector machines
A Christmann, I Steinwart
Springer-Verlag New York, 2008
Consistency and robustness of kernel-based regression in convex risk minimization
A Christmann, I Steinwart
Digital radiography versus conventional radiography in chest imaging: diagnostic performance of a large-area silicon flat-panel detector in a clinical CT-controlled study
M Garmer, SP Hennigs, HJ Jager, F Schrick, T van de Loo, A Jacobs, ...
American journal of roentgenology 174 (1), 75-80, 2000
On robustness properties of convex risk minimization methods for pattern recognition
A Christmann, I Steinwart
The Journal of Machine Learning Research 5, 1007-1034, 2004
Robustness against separation and outliers in logistic regression
PJ Rousseeuw, A Christmann
Computational Statistics & Data Analysis 43 (3), 315-332, 2003
Universal kernels on non-standard input spaces
A Christmann, I Steinwart
Advances in neural information processing systems 23, 2010
Measuring overlap in binary regression
A Christmann, PJ Rousseeuw
Computational Statistics & Data Analysis 37 (1), 65-75, 2001
A robust estimator for the tail index of Pareto-type distributions
B Vandewalle, J Beirlant, A Christmann, M Hubert
Computational Statistics & Data Analysis 51 (12), 6252-6268, 2007
Fast learning from non-iid observations
I Steinwart, A Christmann
Advances in neural information processing systems 22, 2009
How SVMs can estimate quantiles and the median
A Christmann, I Steinwart
Advances in neural information processing systems 20, 2007
Least median of weighted squares in logistic regression with large strata
A Christmann
Biometrika 81 (2), 413-417, 1994
Consistency of support vector machines using additive kernels for additive models
A Christmann, R Hable
Computational Statistics & Data Analysis 56 (4), 854-873, 2012
Bouligand derivatives and robustness of support vector machines for regression
A Christmann, A Van Messem
Journal of Machine Learning Research 9 (May), 915-936, 2008
On qualitative robustness of support vector machines
R Hable, A Christmann
Journal of Multivariate Analysis 102 (6), 993-1007, 2011
A physiologic in vitro model of the inferior vena cava with a computer-controlled flow system for testing of inferior vena cava filters
HJ Jäger, T Mair, M Geller, RK Kinne, A Christmann, KD Mathias
Investigative radiology 32 (9), 511-522, 1997
On consistency and robustness properties of support vector machines for heavy-tailed distributions
A Christmann, I Steinwart, A van Messem
Statistics and Its Interface 2 (3), 311-327, 2009
The system can't perform the operation now. Try again later.
Articles 1–20