Ulrich Rückert

According to our database, Ulrich Rückert authored at least 22 papers between 2002 and 2013.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2013

Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets.

Tobias Girschick, Ulrich Rückert, Stefan Kramer

Comput. J., 2013

2012

How Little Do We Actually Know? On the Size of Gene Regulatory Networks.

Richard Röttger, Ulrich Rückert, Jan Taubert, Jan Baumbach

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

2011

Transfer Learning with Adaptive Regularizers.

Ulrich Rückert, Marius Kloft

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Fast, Effective Molecular Feature Mining by Local Optimization.

Albrecht Zimmermann, Björn Bringmann, Ulrich Rückert

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

A Unifying View of Multiple Kernel Learning.

Marius Kloft, Ulrich Rückert, Peter L. Bartlett

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships.

Ulrich Rückert, Tobias Girschick, Fabian Buchwald, Stefan Kramer

Proceedings of the Discovery Science - 13th International Conference, 2010

2009

Adaptive concept drift detection.

Anton Dries, Ulrich Rückert

Stat. Anal. Data Min., 2009

Capacity Control for Partially Ordered Feature Sets.

Ulrich Rückert

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008

A statistical approach to rule learning.

Ulrich Rückert

PhD thesis, 2008

Margin-based first-order rule learning.

Ulrich Rückert, Stefan Kramer

Mach. Learn., 2008

An experimental evaluation of simplicity in rule learning.

Ulrich Rückert, Luc De Raedt

Artif. Intell., 2008

Kernel-Based Inductive Transfer.

Ulrich Rückert, Stefan Kramer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007

Optimizing Feature Sets for Structured Data.

Ulrich Rückert, Stefan Kramer

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Learning a Predictive Model for Growth Inhibition from the NCI DTP Human Tumor Cell Line Screening Data: Does Gene Expression Make a Difference?

Lothar Richter, Ulrich Rückert, Stefan Kramer

Proceedings of the Biocomputing 2006, 2006

A statistical approach to rule learning.

Ulrich Rückert, Stefan Kramer

Proceedings of the Machine Learning, 2006

2005

Analyzing microarray data using quantitative association rules.

Elisabeth Georgii, Lothar Richter, Ulrich Rückert, Stefan Kramer

Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

2004

Frequent free tree discovery in graph data.

Ulrich Rückert, Stefan Kramer

Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Towards tight bounds for rule learning.

Ulrich Rückert, Stefan Kramer

Proceedings of the Machine Learning, 2004

Quantitative Association Rules Based on Half-Spaces: An Optimization Approach.

Ulrich Rückert, Lothar Richter, Stefan Kramer

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003

Generalized Version Space Trees.

Ulrich Rückert, Stefan Kramer

Proceedings of the Second International Workshop on Inductive Databases, 2003

Stochastic Local Search in k-Term DNF Learning.

Ulrich Rückert, Stefan Kramer

Proceedings of the Machine Learning, 2003

2002

Phase Transitions and Stochastic Local Search in k-Term DNF Learning.

Ulrich Rückert, Stefan Kramer, Luc De Raedt

Proceedings of the Machine Learning: ECML 2002, 2002