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» Feature Subset Selection Using a Genetic Algorithm
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GECCO
2005
Springer
189views Optimization» more  GECCO 2005»
15 years 8 months ago
Molecular programming: evolving genetic programs in a test tube
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
Byoung-Tak Zhang, Ha-Young Jang
98
Voted
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 3 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
127
Voted
CSDA
2007
152views more  CSDA 2007»
15 years 2 months ago
Robust variable selection using least angle regression and elemental set sampling
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
Lauren McCann, Roy E. Welsch
115
Voted
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
15 years 8 months ago
Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies
Selecting an informative subset of SNPs, generally referred to as tag SNPs, to genotype and analyze is considered to be an essential step toward effective disease association studi...
Phil Hyoun Lee, Hagit Shatkay
CIKM
2008
Springer
15 years 4 months ago
The role of syntactic features in protein interaction extraction
Most approaches for protein interaction mining from biomedical texts use both lexical and syntactic features. However, the individual impact of these two kinds of features on the ...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...