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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 7 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 7 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
140
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DCOSS
2011
Springer
14 years 1 months ago
A local average consensus algorithm for wireless sensor networks
—In many application scenarios sensors need to calculate the average of some local values, e.g. of local measurements. A possible solution is to rely on consensus algorithms. In ...
Konstantin Avrachenkov, Mahmoud El Chamie, Giovann...
NIPS
2007
15 years 3 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
JCIT
2007
111views more  JCIT 2007»
15 years 1 months ago
Pedagogical Usability Checklist for ESL/EFL E-learning Websites
It is, thus, not surprising that English education has gained more attention than ever and there also has been a growing amount of interest in learning English online. Although the...
C. J. Lim, S. Lee