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» Genetic Algorithms for Component Analysis
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131
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GECCO
2010
Springer
220views Optimization» more  GECCO 2010»
15 years 6 months ago
Interday foreign exchange trading using linear genetic programming
Foreign exchange (forex) market trading using evolutionary algorithms is an active and controversial area of research. We investigate the use of a linear genetic programming (LGP)...
Garnett Carl Wilson, Wolfgang Banzhaf
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 8 months ago
Finding needles in haystacks is harder with neutrality
This research presents an analysis of the reported successes of the Cartesian Genetic Programming method on a simplified form of the Boolean parity problem. We show the method of...
M. Collins
122
Voted
ICDAR
2009
IEEE
15 years 10 months ago
Temporal Order Recovery of the Scanned Handwriting
In this paper, we present a new approach to the temporal order restoration of the off-line handwriting. After the preprocessing steps of the word image, a suitable algorithm makes...
Abdelkarim Elbaati, Monji Kherallah, Abdellatif En...
161
Voted
SDM
2011
SIAM
241views Data Mining» more  SDM 2011»
14 years 6 months ago
A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
Yunlong He, Renato Monteiro, Haesun Park
106
Voted
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 9 months ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...