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» Data Mining for Genetics: A Genetic Algorithm Approach
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INFOCOM
2011
IEEE
14 years 7 months ago
Channel allocation in wireless data center networks
—Unbalanced traffic demands of different data center applications are an important issue in designing Data center networks (DCNs). In this paper, we present our exploratory inve...
Yong Cui, Hongyi Wang, Xiuzhen Cheng
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 4 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
ECML
2006
Springer
15 years 7 months ago
Automatically Evolving Rule Induction Algorithms
Research in the rule induction algorithm field produced many algorithms in the last 30 years. However, these algorithms are usually obtained from a few basic rule induction algorit...
Gisele L. Pappa, Alex Alves Freitas
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 7 months ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...