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» On the practical genetic algorithms
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PR
2008
84views more  PR 2008»
15 years 6 months ago
Practical background estimation for mosaic blending with patch-based Markov random fields
In this paper, we present a new background estimation algorithm which effectively represents both background and foreground. The problem is formulated with a labeling problem over...
Dae Woong Kim, Ki-Sang Hong
139
Voted
GECCO
2010
Springer
150views Optimization» more  GECCO 2010»
15 years 11 months ago
Object-level recombination of commodity applications
This paper presents ObjRecombGA, a genetic algorithm framework for recombining related programs at the object file level. A genetic algorithm guides the selection of object file...
Blair Foster, Anil Somayaji
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 10 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
BMCBI
2011
15 years 1 months ago
Simulated evolution applied to study the genetic code optimality using a model of codon reassignments
Background: As the canonical code is not universal, different theories about its origin and organization have appeared. The optimization or level of adaptation of the canonical ge...
Jose Santos, Ángel Monteagudo
CVPR
2007
IEEE
16 years 8 months ago
Practical Online Active Learning for Classification
We compare the practical performance of several recently proposed algorithms for active learning in the online classification setting. We consider two active learning algorithms (...
Claire Monteleoni, Matti Kääriäinen