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DAM
2007
91views more  DAM 2007»
13 years 7 months ago
Integer linear programming approaches for non-unique probe selection
In addition to their prevalent use for analyzing gene expression, DNA microarrays are an efficient tool for biological, medical, and industrial applications because of their abil...
Gunnar W. Klau, Sven Rahmann, Alexander Schliep, M...
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
13 years 9 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
ICRA
2003
IEEE
163views Robotics» more  ICRA 2003»
14 years 1 months ago
An experimental study of hybrid switched system approaches to visual servoing
Abstract— In the recent past, many researchers have developed control algorithms for visual servo applications. In this paper, we introduce a new hybrid switched system approach,...
Nicholas R. Gans, Seth Hutchinson
BMCBI
2008
160views more  BMCBI 2008»
13 years 8 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...