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CLADE
2008
IEEE
14 years 2 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
PPSN
1998
Springer
13 years 11 months ago
The Coevolution of Antibodies for Concept Learning
We present a novel approach to concept learning in which a coevolutionary genetic algorithm is applied to the construction of an immune system whose antibodies can discriminate bet...
Mitchell A. Potter, Kenneth A. De Jong
KES
1999
Springer
13 years 12 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
ISSRE
2007
IEEE
13 years 9 months ago
Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...
Erik Arisholm, Lionel C. Briand, Magnus Fuglerud
CCGRID
2006
IEEE
14 years 1 months ago
Statistical Data Reduction for Efficient Application Performance Monitoring
There is a growing need for systems that can monitor and analyze application performance data automatically in order to deliver reliable and sustained performance to applications....
Lingyun Yang, Jennifer M. Schopf, Catalin Dumitres...