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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
ATAL
2010
Springer
13 years 8 months ago
MagneBike: toward multi climbing robots for power plant inspection
An ever-growing infrastructure, including existing and newly built power plants, as well as a rising environmental awareness in society call for inspection and maintenance systems...
Andreas Breitenmoser, Fabien Tâche, Gilles C...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
BMCBI
2008
111views more  BMCBI 2008»
13 years 7 months ago
A perl package and an alignment tool for phylogenetic networks
Background: Phylogenetic networks are a generalization of phylogenetic trees that allow for the representation of evolutionary events acting at the population level, like recombin...
Gabriel Cardona, Francesc Rosselló, Gabriel...
TSMC
1998
91views more  TSMC 1998»
13 years 7 months ago
Toward the border between neural and Markovian paradigms
— A new tendency in the design of modern signal processing methods is the creation of hybrid algorithms. This paper gives an overview of different signal processing algorithms si...
Piotr Wilinski, Basel Solaiman, A. Hillion, W. Cza...