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» Function Optimization with Coevolutionary Algorithms
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126
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ICS
2010
Tsinghua U.
15 years 12 months ago
Distribution-Specific Agnostic Boosting
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Vitaly Feldman
108
Voted
ITCC
2005
IEEE
15 years 8 months ago
Fuzzy-based Parameterized Gaussian Edge Detector Using Global and Local Properties
Many edge detection schemes suffer from the lack of image quality at the global level. Global properties are more vital in grayscale images due to loss of hue and texture. This pa...
John See, Madasu Hanmandlu, Shantaram Vasikarla
135
Voted
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 6 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
15 years 6 months ago
Strong recombination, weak selection, and mutation
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
Alden H. Wright, J. Neal Richter
102
Voted
APPML
2007
92views more  APPML 2007»
15 years 2 months ago
Topological grammars for data approximation
A method of topological grammars is proposed for multidimensional data approximation. For data with complex topology we define a principal cubic complex of low dimension and give...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...