Ulrich Rückert

25 papers A* 4A 1B 2Misc 2Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2013 J jnl
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets.
Comput. J.
Tobias Girschick, Ulrich Rückert, Stefan Kramer
2012 J jnl
How Little Do We Actually Know? On the Size of Gene Regulatory Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Richard Röttger, Ulrich Rückert, Jan Taubert, Jan Baumbach
2011 — conf
Transfer Learning with Adaptive Regularizers.
ECML/PKDD (3)
Ulrich Rückert, Marius Kloft
2010 J jnl
A Unifying View of Multiple Kernel Learning
CoRR
Marius Kloft, Ulrich Rückert, Peter L. Bartlett
2010 — conf
A Unifying View of Multiple Kernel Learning.
ECML/PKDD (2)
Marius Kloft, Ulrich Rückert, Peter L. Bartlett
2010 B conf
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships.
Discovery Science
Ulrich Rückert, Tobias Girschick, Fabian Buchwald, Stefan Kramer
2010 — conf
Fast, Effective Molecular Feature Mining by Local Optimization.
ECML/PKDD (3)
Albrecht Zimmermann, Björn Bringmann, Ulrich Rückert
2009 A conf
Adaptive Concept Drift Detection.
SDM
Anton Dries, Ulrich Rückert
2009 J jnl
Adaptive concept drift detection.
Stat. Anal. Data Min.
Anton Dries, Ulrich Rückert
2009 — conf
Capacity Control for Partially Ordered Feature Sets.
ECML/PKDD (2)
Ulrich Rückert
2008 — —
A statistical approach to rule learning.
Ulrich Rückert
2008 J jnl
An experimental evaluation of simplicity in rule learning.
Artif. Intell.
Ulrich Rückert, Luc De Raedt
2008 — conf
Kernel-Based Inductive Transfer.
ECML/PKDD (2)
Ulrich Rückert, Stefan Kramer
2008 J jnl
Margin-based first-order rule learning.
Mach. Learn.
Ulrich Rückert, Stefan Kramer
2007 — conf
Optimizing Feature Sets for Structured Data.
ECML
Ulrich Rückert, Stefan Kramer
2006 A* conf
A statistical approach to rule learning.
ICML
Ulrich Rückert, Stefan Kramer
2006 Misc conf
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
Lothar Richter, Ulrich Rückert, Stefan Kramer
2006 B conf
Margin-Based First-Order Rule Learning.
ILP
Ulrich Rückert, Stefan Kramer
2005 — conf
Analyzing microarray data using quantitative association rules.
ECCB/JBI
Elisabeth Georgii, Lothar Richter, Ulrich Rückert, Stefan Kramer
2004 Misc conf
Frequent free tree discovery in graph data.
SAC
Ulrich Rückert, Stefan Kramer
2004 A* conf
Quantitative Association Rules Based on Half-Spaces: An Optimization Approach.
ICDM
Ulrich Rückert, Lothar Richter, Stefan Kramer
2004 A* conf
Towards tight bounds for rule learning.
ICML
Ulrich Rückert, Stefan Kramer
2003 — conf
Generalized Version Space Trees.
KDID
Ulrich Rückert, Stefan Kramer
2003 A* conf
Stochastic Local Search in k-Term DNF Learning.
ICML
Ulrich Rückert, Stefan Kramer
2002 — conf
Phase Transitions and Stochastic Local Search in k-Term DNF Learning.
ECML
Ulrich Rückert, Stefan Kramer, Luc De Raedt