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CSDA
2008
126views more  CSDA 2008»
15 years 2 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...
ICCS
2005
Springer
15 years 7 months ago
On Algorithm for Estimation of Selecting Core
Abstract. With the development of the multicast technology, the realtime strategy among the group applications using the multicast routing is getting more important. An essential f...
Youngjin Ahn, Moonseong Kim, Young-Cheol Bang, Hyu...
127
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ICDAR
2003
IEEE
15 years 7 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
EURODAC
1994
IEEE
128views VHDL» more  EURODAC 1994»
15 years 6 months ago
A component selection algorithm for high-performance pipelines
The use of a realistic component library with multiple implementations of operators, results in cost ef cient designs; slow components can then be used on non-critical paths and t...
Smita Bakshi, Daniel D. Gajski
IJON
2006
73views more  IJON 2006»
15 years 2 months ago
Optimal selection of time lags for TDSEP based on genetic algorithm
In this letter, a two-step learning scheme for the optimal selection of time lags is proposed for a typical temporal blind source separation (TBSS), Temporal Decorrelation source ...
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li S...