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» Designing RNA structures: natural and artificial selection
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CEC
2009
IEEE
15 years 4 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
61
Voted
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving visually guided agents in an ambiguous virtual world
The fundamental challenge faced by any visual system within natural environments is the ambiguity caused by the fact that light that falls on the system’s sensors conflates mult...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
15 years 10 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
88
Voted
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 1 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
DIAGRAMS
2004
Springer
15 years 3 months ago
Cider: A Component-Based Toolkit for Creating Smart Diagram Environments
— Smart Diagram Environments (SDEs) are software applications that use structured diagrams to provide a natural visual interface that behaves as if the computer “understands”...
Anthony R. Jansen, Kim Marriott, Bernd Meyer