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NCA
2002
IEEE
13 years 7 months ago
Comparison of Algorithmic and Machine Learning Approaches for the Automatic Fitting of Gaussian Peaks
Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...
Radwan E. Abdel-Aal
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
13 years 11 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
SIGIR
2004
ACM
14 years 1 months ago
Resource selection for domain-specific cross-lingual IR
An under-explored question in cross-language information retrieval (CLIR) is to what degree the performance of CLIR methods depends on the availability of high-quality translation...
Monica Rogati, Yiming Yang
CEC
2008
IEEE
14 years 2 months ago
The simplest evolution/learning hybrid: LEM with KNN
Abstract— The Learnable Evolution Model (LEM) was introduced by Michalski in 2000, and involves interleaved bouts of evolution and learning. Here we investigate LEM in (we think)...
Guleng Sheri, David W. Corne
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 9 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens