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» Feature Subset Selection Using a Genetic Algorithm
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TEC
2002
133views more  TEC 2002»
13 years 8 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
EUROCAST
2003
Springer
105views Hardware» more  EUROCAST 2003»
14 years 2 months ago
A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms
In this paper we introduce a new generic selection method for Genetic Algorithms. The main difference of this selection principle in contrast to conventional selection models is g...
Michael Affenzeller, Stefan Wagner 0002
ACL
2006
13 years 10 months ago
A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces
Recent developments in statistical modeling of various linguistic phenomena have shown that additional features give consistent performance improvements. Quite often, improvements...
Qi Zhang, Fuliang Weng, Zhe Feng
EC
2000
171views ECommerce» more  EC 2000»
13 years 8 months ago
Building Blocks, Cohort Genetic Algorithms, and Hyperplane-Defined Functions
Building blocks are a ubiquitous feature at all levels of human understanding, from perception through science and innovation. Genetic algorithms are designed to exploit this prev...
John H. Holland
IWINAC
2005
Springer
14 years 2 months ago
GA-Selection Revisited from an ES-Driven Point of View
Whereas the selection concept of Genetic Algorithms (GAs) and Genetic Programming (GP) is basically realized by the selection of above-average parents for reproduction, Evolution S...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...