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GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
14 years 2 days ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford
CSB
2003
IEEE
110views Bioinformatics» more  CSB 2003»
14 years 1 months ago
Statistical Inference for Well-ordered Structures in Nucleotide Sequences
Distinct, local structures are frequently correlated with functional RNA elements involved in posttranscriptional regulation of gene expression. Discovery of microRNAs (miRNAs) su...
Shu-Yun Le, Jih-H. Chen, Jacob V. Maizel
CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 8 months ago
Randomised Variable Neighbourhood Search for Multi Objective Optimisation
Various local search approaches have recently been applied to machine scheduling problems under multiple objectives. Their foremost consideration is the identification of the set ...
Martin Josef Geiger
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
14 years 1 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 1 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...