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168
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BMCBI
2005
126views more  BMCBI 2005»
15 years 2 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
127
Voted
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 6 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
118
Voted
IWANN
2001
Springer
15 years 7 months ago
Neurobiological Modeling of Bursting Response During Visual Attention
: Thalamic neurons have an exclusive property named bursting response. Bursting response seems to have a critical role in producing saliency map and encoding conspicuity of locatio...
Reza Rajimehr, Leila Montaser Kouhsari
117
Voted
ICICIC
2006
IEEE
15 years 8 months ago
Integration of Genetic Algorithm and Neural Network for Financial Early Warning System: An Example of Taiwanese Banking Industry
Genetic algorithm and neural network (GNN) are integrated to build a financial early warning system. An example of Taiwanese banking industry is discussed to test the hit ratio of...
Jih-Chang Hsieh, Pei-Chann Chang, Shih-Hsin Chen
ISPA
2004
Springer
15 years 8 months ago
Performance Evaluation of a Grid Computing Architecture Using Realtime Network Monitoring
This paper integrates the concepts of realtime network monitoring and visualizations into a grid computing architecture on the Internet. We develop a Realtime Network Monitor(RNM) ...
Young-Sik Jeong, Cheng-Zhong Xu