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» A Framework for the Simulation Experimentation Process
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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 2 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
CDC
2009
IEEE
176views Control Systems» more  CDC 2009»
15 years 2 months ago
Controllability of the rotation of a quantum planar molecule
Abstract— We consider the simplest model for controlling the rotation of a molecule by the action of an electric field, namely a quantum planar pendulum. This problem consists i...
Ugo V. Boscain, Thomas Chambrion, Paolo Mason, Mar...
EVOW
2001
Springer
15 years 2 months ago
ARPIA: A High-Level Evolutionary Test Signal Generator
The integrated circuits design flow is rapidly moving towards higher description levels. However, test-related activities are lacking behind this trend, mainly since effective faul...
Fulvio Corno, Gianluca Cumani, Matteo Sonza Reorda...
KES
1999
Springer
15 years 1 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