907 search results - page 11 / 182 » A Comparison of Genetic Network Models |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
This paper presents a hypothesis about an undiscovered class of mechanisms that exist in standard GP. Rather than being intentionally designed, these mechanisms would be an uninten...
CMSB
2006
Springer
15 years 1 months ago
2006
Springer
Genetic regulatory networks have been modeled as discrete transition systems by many approaches, benefiting from a large number of formal verification algorithms available for the ...
EVOW
2007
Springer
15 years 3 months ago
2007
Springer
The effective reverse engineering of biochemical networks is one of the great challenges of systems biology. The contribution of this paper is two-fold: 1) We introduce a new meth...
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NN
2007
Springer
14 years 9 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...