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165
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NN
2007
Springer
267views Neural Networks» more  NN 2007»
15 years 3 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
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...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
120
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PR
2007
104views more  PR 2007»
15 years 3 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
WSC
2004
15 years 4 months ago
Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
Zdravko I. Botev, Dirk P. Kroese
FLAIRS
2006
15 years 4 months ago
Fuzzy Model Optimization Using Genetic Algorithm for Aircraft Engine Diagnosis
An accurate and up-to-date diagnostic model is critical for economic aircraft engine operation. However, for many commercial airline fleets, monitoring and diagnosing engine fault...
LiJie Yu, Daniel J. Cleary, Mark D. Osborn, Vrinda...
149
Voted
MOMPES
2009
IEEE
15 years 10 months ago
ArcheOpterix: An extendable tool for architecture optimization of AADL models
For embedded systems quality requirements are equally if not even more important than functional requirements. The foundation for the fulfillment of these quality requirements ha...
Aldeida Aleti, Stefan Björnander, Lars Grunsk...