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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 10 days ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
AML
1998
60views more  AML 1998»
15 years 5 months ago
A restricted computation model on Scott domains and its partial primitive recursive functionals
The paper builds on both a simply typed term system PRω and a computation model on Scott domains via so-called parallel typed while programs (PTWP). The former provides a notion ...
Karl-Heinz Niggl
COGSCI
2011
115views more  COGSCI 2011»
14 years 9 months ago
A Computational Cognitive Model of Syntactic Priming
The psycholinguistic literature has identified two syntactic adaptation effects in language production: rapidly decaying short-term priming and long-lasting adaptation. To explai...
David Reitter, Frank Keller, Johanna D. Moore
BMCBI
2011
14 years 9 months ago
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks v
Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...
CCCG
2009
15 years 7 months ago
New Algorithms for Computing Maximum Perimeter and Maximum Area of the Convex Hull of Imprecise Inputs Based On the Parallel Lin
In this paper, we present new algorithms for computing maximum perimeter and maximum area of the convex hull of imprecise inputs based on the parallel line segment model. The runn...
Wenqi Ju, Jun Luo