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» Data Mining for Genetics: A Genetic Algorithm Approach
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TEC
2002
81views more  TEC 2002»
15 years 3 months ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolving fuzzy decision tree structure that adapts in real-time
A fuzzy logic algorithm has been developed that automatically allocates electronic attack (EA) resources distributed over different platforms in real-time. The controller must be ...
James F. Smith III
GECCO
2010
Springer
159views Optimization» more  GECCO 2010»
15 years 8 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
BMCBI
2010
110views more  BMCBI 2010»
15 years 4 months ago
GenHtr: a tool for comparative assessment of genetic heterogeneity in microbial genomes generated by massive short-read sequenci
Background: Microevolution is the study of short-term changes of alleles within a population and their effects on the phenotype of organisms. The result of the below-species-level...
GongXin Yu
128
Voted
KES
2004
Springer
15 years 9 months ago
A Comparison of Two Approaches to Data Mining from Imbalanced Data
Our objective is a comparison of two data mining approaches to dealing with imbalanced data sets. The first approach is based on saving the original rule set, induced by the LEM2 ...
Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon...