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» Distributed Learning with Biogeography-Based Optimization
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GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
14 years 1 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 10 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
INFOCOM
2007
IEEE
14 years 4 months ago
Measurement-Based Self Organization of Interfering 802.11 Wireless Access Networks
— The popularity of IEEE 802.11 WLANs has led to dense deployments in urban areas. High density leads to suboptimal performance unless the interfering networks learn how to optim...
Bruno Kauffmann, François Baccelli, Augusti...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 4 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
14 years 1 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan