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» Data Mining for Genetics: A Genetic Algorithm Approach
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GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 9 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
129
Voted
PPSN
2004
Springer
15 years 9 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
139
Voted
EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
15 years 8 months ago
Adapting the Fitness Function in GP for Data Mining
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
PR
2008
93views more  PR 2008»
15 years 3 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach
130
Voted
ICAISC
2010
Springer
15 years 8 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees
In the paper a new evolutionary algorithm for induction of univariate regression trees is proposed. In contrast to typical top-down approaches it globally searches for the best tre...
Marek Kretowski, Marcin Czajkowski