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142
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 10 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 10 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
138
Voted
IBPRIA
2007
Springer
15 years 10 months ago
Improving Piecewise-Linear Registration Through Mesh Optimization
Abstract. Piecewise-linear methods accomplish the registration by dividing the images in corresponding triangular patches, which are individually mapped through affine transformati...
Vicente Arévalo, Javier González
138
Voted
IBPRIA
2007
Springer
15 years 10 months ago
Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles. In this paper we introduce the boosting of blurre...
Alicia Fornés, Sergio Escalera, Josep Llad&...