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» Bayesian Methods for Efficient Genetic Programming
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GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
13 years 10 months ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn
GECCO
2004
Springer
327views Optimization» more  GECCO 2004»
13 years 10 months ago
Evolution, Robustness, and Adaptation of Sidewinding Locomotion of Simulated Snake-Like Robot
Inspired by the efficient method of locomotion of the rattlesnake Crotalus cerastes, the objective of this work is automatic design through genetic programming, of the fastest poss...
Ivan Tanev, Thomas S. Ray, Andrzej Buller
IJON
2006
146views more  IJON 2006»
13 years 4 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
BMCBI
2010
134views more  BMCBI 2010»
13 years 5 months ago
ScreenMill: A freely available software suite for growth measurement, analysis and visualization of high-throughput screen data
Background: Many high-throughput genomic experiments, such as Synthetic Genetic Array and yeast two-hybrid, use colony growth on solid media as a screen metric. These experiments ...
John C. Dittmar, Robert J. D. Reid, Rodney Rothste...
IPPS
2010
IEEE
13 years 2 months ago
On the parallelisation of MCMC by speculative chain execution
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. B...