Ulrich Rückert

Affiliations:
  • University of California, Berkeley, International Computer Science Institute
  • TU Munich, Department of Computer Science


According to our database1, Ulrich Rückert authored at least 22 papers between 2002 and 2013.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2013
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets.
Comput. J., 2013

2012
How Little Do We Actually Know? On the Size of Gene Regulatory Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

2011
Transfer Learning with Adaptive Regularizers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
Fast, Effective Molecular Feature Mining by Local Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

A Unifying View of Multiple Kernel Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships.
Proceedings of the Discovery Science - 13th International Conference, 2010

2009
Adaptive concept drift detection.
Stat. Anal. Data Min., 2009

Capacity Control for Partially Ordered Feature Sets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008
A statistical approach to rule learning.
PhD thesis, 2008

Margin-based first-order rule learning.
Mach. Learn., 2008

An experimental evaluation of simplicity in rule learning.
Artif. Intell., 2008

Kernel-Based Inductive Transfer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007
Optimizing Feature Sets for Structured Data.
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?
Proceedings of the Biocomputing 2006, 2006

A statistical approach to rule learning.
Proceedings of the Machine Learning, 2006

2005
Analyzing microarray data using quantitative association rules.
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.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Towards tight bounds for rule learning.
Proceedings of the Machine Learning, 2004

Quantitative Association Rules Based on Half-Spaces: An Optimization Approach.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003
Generalized Version Space Trees.
Proceedings of the Second International Workshop on Inductive Databases, 2003

Stochastic Local Search in k-Term DNF Learning.
Proceedings of the Machine Learning, 2003

2002
Phase Transitions and Stochastic Local Search in k-Term DNF Learning.
Proceedings of the Machine Learning: ECML 2002, 2002


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