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CIG
2006
IEEE
13 years 9 months ago
Improving Artificial Intelligence In a Motocross Game
We have previously investigated the use of artificial neural networks to ride simulated motorbikes in a new computer game. These artificial neural networks were trained using two d...
Benoit Chaperot, Colin Fyfe
RECOMB
2005
Springer
14 years 7 months ago
Reconstruction of Reticulate Networks from Gene Trees
Abstract. One of the simplest evolutionary models has molecular sequences evolving from a common ancestor down a bifurcating phylogenetic tree, experiencing point-mutations along t...
Daniel H. Huson, Tobias H. Klöpper, Pete J. L...
BMEI
2008
IEEE
14 years 1 months ago
Using Phylogenetic Relationships to Improve the Inference of Transcriptional Regulatory Networks
Inferring transcriptional regulatory networks from geneexpression data remains a challenging problem, in part because of the noisy nature of the data and the lack of strong networ...
Xiuwei Zhang, Maryam Zaheri, Bernard M. E. Moret
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 7 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
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 1 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley