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IJON
2006
112views more  IJON 2006»
15 years 2 months ago
Comparison of automated parameter estimation methods for neuronal signaling networks
This work is a suitability study of the different optimization methods for automated parameter estimation (fitting) in the context of neuronal signaling networks. The Gepasi simul...
Antti Pettinen, Olli Yli-Harja, Marja-Leena Linne
122
Voted
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
15 years 4 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
GECCO
2004
Springer
15 years 7 months ago
Inducing Sequentiality Using Grammatical Genetic Codes
Abstract. This paper studies the inducement of sequentiality in genetic algorithms (GAs) for uniformly-scaled problems. Sequentiality is a phenomenon in which sub-solutions converg...
Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David ...
CRV
2005
IEEE
201views Robotics» more  CRV 2005»
15 years 8 months ago
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Gustavo Carneiro, Nuno Vasconcelos
121
Voted
CAV
2004
Springer
154views Hardware» more  CAV 2004»
15 years 6 months ago
Automatic Verification of Sequential Consistency for Unbounded Addresses and Data Values
Sequential consistency is the archetypal correctness condition for the memory protocols of shared-memory multiprocessors. Typically, such protocols are parameterized by the number ...
Jesse D. Bingham, Anne Condon, Alan J. Hu, Shaz Qa...