Ulrich Rückert

Publication Activity (10 Years)

Years Active: 2002-2013
Publications (10 Years): 0

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Comput. J.

Technical University Munich, Germany (PHD)

Education History

Technical University Munich, Germany

PHD

Publications

Tobias Girschick, Ulrich Rückert, Stefan Kramer
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets. Comput. J. 56 (3) (2013)
Richard Röttger, Ulrich Rückert, Jan Taubert, Jan Baumbach
How Little Do We Actually Know? On the Size of Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (5) (2012)
Ulrich Rückert, Marius Kloft
Transfer Learning with Adaptive Regularizers. ECML/PKDD (3) (2011)
Marius Kloft, Ulrich Rückert, Peter L. Bartlett
A Unifying View of Multiple Kernel Learning CoRR (2010)
Ulrich Rückert, Tobias Girschick, Fabian Buchwald, Stefan Kramer
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships. Discovery Science (2010)
Albrecht Zimmermann, Björn Bringmann, Ulrich Rückert
Fast, Effective Molecular Feature Mining by Local Optimization. ECML/PKDD (3) (2010)
Marius Kloft, Ulrich Rückert, Peter L. Bartlett
A Unifying View of Multiple Kernel Learning. ECML/PKDD (2) (2010)
Anton Dries, Ulrich Rückert
Adaptive Concept Drift Detection. SDM (2009)
Ulrich Rückert
Capacity Control for Partially Ordered Feature Sets. ECML/PKDD (2) (2009)
Anton Dries, Ulrich Rückert
Adaptive concept drift detection. Stat. Anal. Data Min. 2 (5-6) (2009)
Ulrich Rückert, Luc De Raedt
An experimental evaluation of simplicity in rule learning. Artif. Intell. 172 (1) (2008)
Ulrich Rückert, Stefan Kramer
Margin-based first-order rule learning. Mach. Learn. 70 (2-3) (2008)
Ulrich Rückert, Stefan Kramer
Kernel-Based Inductive Transfer. ECML/PKDD (2) (2008)
Ulrich Rückert, Stefan Kramer
Optimizing Feature Sets for Structured Data. ECML (2007)
Lothar Richter, Ulrich Rückert, Stefan Kramer
Learning a Predictive Model for Growth Inhibition from the NCI DTP Human Tumor Cell Line Screening Data: Does Gene Expression Make a Difference? Pacific Symposium on Biocomputing (2006)
Ulrich Rückert, Stefan Kramer
A statistical approach to rule learning. ICML (2006)
Ulrich Rückert, Stefan Kramer
Margin-Based First-Order Rule Learning. ILP (2006)
Elisabeth Georgii, Lothar Richter, Ulrich Rückert, Stefan Kramer
Analyzing microarray data using quantitative association rules. ECCB/JBI (2005)
Ulrich Rückert, Stefan Kramer
Frequent free tree discovery in graph data. SAC (2004)
Ulrich Rückert, Lothar Richter, Stefan Kramer
Quantitative Association Rules Based on Half-Spaces: An Optimization Approach. ICDM (2004)
Ulrich Rückert, Stefan Kramer
Towards tight bounds for rule learning. ICML (2004)
Ulrich Rückert, Stefan Kramer
Generalized Version Space Trees. KDID (2003)
Ulrich Rückert, Stefan Kramer
Stochastic Local Search in k-Term DNF Learning. ICML (2003)
Ulrich Rückert, Stefan Kramer, Luc De Raedt
Phase Transitions and Stochastic Local Search in k-Term DNF Learning. ECML (2002)

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Publication Activity (10 Years)

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Ulrich Rückert