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» Modified genetic algorithm for nonlinear data reconciliation
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BMCBI
2007
186views more  BMCBI 2007»
13 years 7 months ago
Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms
Background: Modeling cancer-related regulatory modules from gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as...
Jung-Hsien Chiang, Shih-Yi Chao
EUROGP
2009
Springer
143views Optimization» more  EUROGP 2009»
13 years 5 months ago
A Real-Time Evolutionary Object Recognition System
We have created a real-time evolutionary object recognition system. Genetic Programming is used to automatically search the space of possible computer vision programs guided throug...
Marc Ebner
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 12 days ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
14 years 1 months ago
Parameter sweeps for exploring GP parameters
This paper describes our procedure and a software application for conducting large parameter sweep experiments in genetic and evolutionary computation research. Both procedure and...
Michael E. Samples, Jason M. Daida, Matthew J. Byo...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 1 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson