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» Agile Computer Control of a Complex Experiment
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CEC
2009
IEEE
14 years 2 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
14 years 1 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
14 years 28 days ago
Towards an empirical measure of evolvability
Genetic representations that do not employ a one-to-one mapping of genotype to phenotype are known as indirect encodings, and can be much more efficient than direct encodings for ...
Joseph Reisinger, Kenneth O. Stanley, Risto Miikku...
CHI
2009
ACM
14 years 2 days ago
Supporting content and process common ground in computer-supported teamwork
We build on our prior work with computer-supported teams performing a complex decision-making task on maps, where the distinction between content and process common ground is prop...
Gregorio Convertino, Helena M. Mentis, Mary Beth R...
CCS
2008
ACM
13 years 9 months ago
Towards experimental evaluation of code obfuscation techniques
While many obfuscation schemes proposed, none of them satisfy any strong definition of obfuscation. Furthermore secure generalpurpose obfuscation algorithms have been proven to be...
Mariano Ceccato, Massimiliano Di Penta, Jasvir Nag...