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» Data Mining for Genetics: A Genetic Algorithm Approach
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AE
2007
Springer
14 years 3 months ago
A Study of Crossover Operators for Gene Selection of Microarray Data
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...
Jose Crispin Hernandez Hernandez, Béatrice ...
GECCO
2003
Springer
14 years 2 months ago
Genetic Algorithm Frequency Domain Optimization of an Anti-Resonant Electromechanical Controller
The new standard for actuators in the aerospace industry is electromechanical actuators. This paper describes an approach whereby PID and DFF controllers are used in unison to eff...
Charles L. Karr, Douglas A. Scott
CSB
2005
IEEE
152views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Consensus Genetic Maps: A Graph Theoretic Approach
A genetic map is an ordering of genetic markers constructed from genetic linkage data for use in linkage studies and experimental design. While traditional methods have focused on...
Benjamin G. Jackson, Srinivas Aluru, Patrick S. Sc...
BIOCOMP
2006
13 years 10 months ago
Learning Genetic and Gene Bayesian Networks with Hidden Variables: Bilayer Verification Algorithm
To improve the recovery of gene-gene and marker-gene (eQTL) interaction networks from microarray and genetic data, we propose a new procedure for learning Bayesian networks. This a...
Jason E. Aten
PAMI
2006
134views more  PAMI 2006»
13 years 9 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee