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» Data Mining for Genetics: A Genetic Algorithm Approach
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GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
15 years 4 months ago
Accelerating genetic programming by frequent subtree mining
One crucial issue in genetic programming (GP) is how to acquire promising building blocks efficiently. In this paper, we propose a GP method (called GPTM, GP with Tree Mining) whi...
Yoshitaka Kameya, Junichi Kumagai, Yoshiaki Kurata
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 4 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
FGCS
2007
99views more  FGCS 2007»
15 years 2 months ago
Mining performance data for metascheduling decision support in the Grid
: Metaschedulers in the Grid needs dynamic information to support their scheduling decisions. Job response time on computing resources, for instance, is such a performance metric. ...
Hui Li, David L. Groep, Lex Wolters
ICIP
2007
IEEE
16 years 4 months ago
Genetic Algorithms for Gielis Surface Recovery from 3D Data Sets
In this paper, we apply genetic algorithms to reconstruct Gielis surfaces from 3D data sets. The Levenberg-Marquardt method has been used as a standard for superquadrics recovery ...
Frédéric Truchetet, Sebti Foufou, Yo...
DATAMINE
2002
125views more  DATAMINE 2002»
15 years 2 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...