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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 11 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
GECCO
2010
Springer
159views Optimization» more  GECCO 2010»
15 years 11 months ago
Evolution of division of labor in genetically homogenous groups
Within nature, the success of many organisms, including certain species of insects, mammals, slime molds, and bacteria, is attributed to their performance of division of labor, wh...
Heather Goldsby, David B. Knoester, Charles Ofria
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
15 years 11 months ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 11 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
ICAISC
2010
Springer
15 years 11 months ago
A New Implementation of the co-VAT Algorithm for Visual Assessment of Clusters in Rectangular Relational Data
This paper presents a new implementation of the co-VAT algorithm. We assume we have an m × n matrix D, where the elements of D are pair-wise dissimilarities between m row objects ...
Timothy C. Havens, James C. Bezdek, James M. Kelle...
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