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» Using Problems to Learn Service-Oriented Computing
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AAAI
2007
15 years 6 months ago
Restart Schedules for Ensembles of Problem Instances
The mean running time of a Las Vegas algorithm can often be dramatically reduced by periodically restarting it with a fresh random seed. The optimal restart schedule depends on th...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
131
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EUSFLAT
2003
107views Fuzzy Logic» more  EUSFLAT 2003»
15 years 5 months ago
Decision-theoretic approaches in fuzzy rule generation for diagnosis and fault detection problems
A typical task in technical fault detection or medical diagnosis problems is to discriminate normal behavior from one or more types of abnormal behavior by means of different meas...
Sebastian Beck, Ralf Mikut, Jens Jäkel, Georg...
INFORMS
2010
125views more  INFORMS 2010»
15 years 3 months ago
Combining Exact and Heuristic Approaches for the Capacitated Fixed-Charge Network Flow Problem
We develop a solution approach for the fixed charge network flow problem (FCNF) that produces provably high-quality solutions quickly. The solution approach combines mathematica...
Mike Hewitt, George L. Nemhauser, Martin W. P. Sav...
SAT
2009
Springer
111views Hardware» more  SAT 2009»
15 years 11 months ago
Restart Strategy Selection Using Machine Learning Techniques
Abstract. Restart strategies are an important factor in the performance of conflict-driven Davis Putnam style SAT solvers. Selecting a good restart strategy for a problem instance...
Shai Haim, Toby Walsh
ICCBR
2003
Springer
15 years 9 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel