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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 27 days ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
IJCNN
2007
IEEE
15 years 9 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
BMCBI
2008
218views more  BMCBI 2008»
15 years 3 months ago
LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Towards billion-bit optimization via a parallel estimation of distribution algorithm
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm (cGA) to solve very large scale problems with millions to billions of va...
Kumara Sastry, David E. Goldberg, Xavier Llor&agra...
BMCBI
2006
169views more  BMCBI 2006»
15 years 3 months ago
Comparative analysis of haplotype association mapping algorithms
Background: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross b...
Phillip McClurg, Mathew T. Pletcher, Tim Wiltshire...