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ANNPR
2006
Springer
15 years 10 months ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 10 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 10 months ago
A genetic model based on simulated crossover of quaternary genes for quadratic fitness
We present a genetic model based on simulated recombination of fixed sequences of quaternary genes (assuming four distinct forms, or alleles). States and dynamics of the infinite ...
Marco Carpentieri, Vito Fedullo
ICRA
2000
IEEE
145views Robotics» more  ICRA 2000»
15 years 10 months ago
Feature Based Condensation for Mobile Robot Localization
Much attention has been given to CONDENSATION methods for mobile robot localization. This has resulted in somewhat of a breakthrough in representing uncertainty for mobile robots....
Patric Jensfelt, David J. Austin, Olle Wijk, Magnu...
GECCO
2010
Springer
176views Optimization» more  GECCO 2010»
15 years 8 months ago
A hierarchical cooperative evolutionary algorithm
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Shelly Xiaonan Wu, Wolfgang Banzhaf