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» Messy Genetic Algorithms for Subset Feature Selection
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AISB
1997
Springer
13 years 11 months ago
Modelling Bounded Rationality Using Evolutionary Techniques
A technique for the credible modelling of economic agents with bounded rationality based on the evolutionary techniques is described. The genetic programming paradigm is most suite...
Bruce Edmonds, Scott Moss
ICSE
2007
IEEE-ACM
14 years 7 months ago
Regression Test Selection for AspectJ Software
As aspect-oriented software development gains popularity, there is growing interest in using aspects to implement cross-cutting concerns in object-oriented systems. When aspect-or...
Guoqing Xu, Atanas Rountev
EUSFLAT
2009
679views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Combining Wavelets and Computational Intelligence Methods with Applications on Multi-class Classification Datasets
In this paper, we propose a novel algorithm for wavelet feature extraction as input to a supervised Multi-Class Classifier to improve classification performance. In particular, to ...
Carlos Campos Bracho
GECCO
2005
Springer
14 years 27 days ago
Predicting healthcare costs using GAs
Predicting prospective healthcare costs is of increasing importance. Genetic search is used to discover attribute sets and associated posterior probability classifiers that predi...
Christopher R. Stephens, Henri Waelbroeck, S. Tall...
TCBB
2010
108views more  TCBB 2010»
13 years 2 months ago
Identification of Full and Partial Class Relevant Genes
Multiclass cancer classification on microarray data has provided the feasibility of cancer diagnosis across all of the common malignancies in parallel. Using multiclass cancer feat...
Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada