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» Data Mining for Genetics: A Genetic Algorithm Approach
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GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
13 years 10 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»
13 years 10 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»
13 years 9 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
14 years 10 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»
13 years 9 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...