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GECCO
2009
Springer
14 years 2 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
CSDA
2008
128views more  CSDA 2008»
13 years 10 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
BMCBI
2005
114views more  BMCBI 2005»
13 years 9 months ago
Extension of Lander-Waterman theory for sequencing filtered DNA libraries
Background: The degree to which conventional DNA sequencing techniques will be successful for highly repetitive genomes is unclear. Investigators are therefore considering various...
Michael C. Wendl, W. Bradley Barbazuk
BMCBI
2004
153views more  BMCBI 2004»
13 years 9 months ago
Computational protein biomarker prediction: a case study for prostate cancer
Background: Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models...
Michael Wagner, Dayanand N. Naik, Alex Pothen, Sri...
CORR
2011
Springer
189views Education» more  CORR 2011»
13 years 1 months ago
Metastability of Logit Dynamics for Coordination Games
Logit Dynamics [Blume, Games and Economic Behavior, 1993] is a randomized best response dynamics for strategic games: at every time step a player is selected uniformly at random a...
Vincenzo Auletta, Diodato Ferraioli, Francesco Pas...