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» Learning for Evolutionary Design
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WOSP
2010
ACM
13 years 10 months ago
Automatically improve software architecture models for performance, reliability, and cost using evolutionary algorithms
Quantitative prediction of quality properties (i.e. extrafunctional properties such as performance, reliability, and cost) of software architectures during design supports a syste...
Anne Martens, Heiko Koziolek, Steffen Becker, Ralf...
GI
1998
Springer
14 years 2 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
BMCBI
2010
110views more  BMCBI 2010»
13 years 10 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
14 years 4 months ago
Dirichlet Process Based Evolutionary Clustering
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
14 years 3 months ago
Evaluating Evolutionary Testability with Software-Measurements
Test case design is the most important test activity with respect to test quality. For this reason, a large number of testing methods have been developed to assist the tester with ...
Frank Lammermann, André Baresel, Joachim We...