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» Data Mining for Genetics: A Genetic Algorithm Approach
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139
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BMCBI
2010
167views more  BMCBI 2010»
15 years 3 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
15 years 4 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang
ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
15 years 10 months ago
A Game Theoretical Model for Adversarial Learning
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
Wei Liu, Sanjay Chawla
EUROGP
2009
Springer
130views Optimization» more  EUROGP 2009»
15 years 10 months ago
One-Class Genetic Programming
One-class classification naturally only provides one-class of exemplars, the target class, from which to construct the classification model. The one-class approach is constructed...
Robert Curry, Malcolm I. Heywood
140
Voted
CCE
2005
15 years 3 months ago
Use of parallel computers in rational design of redundant sensor networks
A general method to design optimal redundant sensor network even in the case of one sensor failure and able to estimate process key parameters within a required accuracy is propos...
Carine Gerkens, Georges Heyen