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» Approaching Optimality for Solving SDD Linear Systems
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GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
15 years 3 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
TVCG
2012
182views Hardware» more  TVCG 2012»
13 years 15 days ago
ISP: An Optimal Out-of-Core Image-Set Processing Streaming Architecture for Parallel Heterogeneous Systems
—Image population analysis is the class of statistical methods that plays a central role in understanding the development, evolution and disease of a population. However, these t...
Linh K. Ha, Jens Krüger, João Luiz Dih...
ALMOB
2006
138views more  ALMOB 2006»
14 years 10 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
14 years 11 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
GECCO
2010
Springer
220views Optimization» more  GECCO 2010»
15 years 1 months ago
Interday foreign exchange trading using linear genetic programming
Foreign exchange (forex) market trading using evolutionary algorithms is an active and controversial area of research. We investigate the use of a linear genetic programming (LGP)...
Garnett Carl Wilson, Wolfgang Banzhaf