3066 search results - page 162 / 614 » Data Mining for Genetics: A Genetic Algorithm Approach |
144
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CORR
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
145
Voted
EVOW
2009
Springer
15 years 10 months ago
2009
Springer
A developmental co-evolutionary genetic programming approach (PAM DGP) is compared to a standard linear genetic programming (LGP) implementation for trading of stocks across market...
163
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CORR
2006
Springer
15 years 3 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
121
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ICANN
2007
Springer
15 years 10 months ago
2007
Springer
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genet...
128
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BMCBI
2010
15 years 4 months ago
2010
Background: Combining data from different ethnic populations in a study can increase efficacy of methods designed to identify expression quantitative trait loci (eQTL) compared to...