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Feature enhancement and fusion-optimized defect detection model for Sanhua plums. [PDF]
Front Plant SciChen Y, Zhang Y.
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Postbiotic effects elicited by heat-inactivated Lacticaseibacillus rhamnosus GG against cow's milk allergy in human cells. [PDF]
Front ImmunolOglio F +14 more
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Prenatal Use of Exome Sequencing and Chromosomal Microarray Analysis: Indications, Interpretation, and Gene Selection Strategies. [PDF]
Diagnostics (Basel)Rodriguez-Revenga L +2 more
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Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
The performance of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is significantly affected by the selection of the specific CMA-ES variant and the parameter values used. Furthermore, optimal CMA-ES parameter configurations vary across different problem landscapes, making the task of tuning CMA-ES to a specific optimization problem a ...
Thomaser, A.M. +3 more
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The performance of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is significantly affected by the selection of the specific CMA-ES variant and the parameter values used. Furthermore, optimal CMA-ES parameter configurations vary across different problem landscapes, making the task of tuning CMA-ES to a specific optimization problem a ...
Thomaser, A.M. +3 more
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Proceedings of the 14th annual conference on Genetic and evolutionary computation, 2012
Neuroevolutionary algorithms are successful methods for optimizing neural networks, especially for learning a neural policy (controller) in reinforcement learning tasks. Their significant advantage over gradient-based algorithms is the capability to search network topology as well as connection weights.
Hirotaka Moriguchi, Shinichi Honiden
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Neuroevolutionary algorithms are successful methods for optimizing neural networks, especially for learning a neural policy (controller) in reinforcement learning tasks. Their significant advantage over gradient-based algorithms is the capability to search network topology as well as connection weights.
Hirotaka Moriguchi, Shinichi Honiden
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CENS, CMA and the CENS-CMA Project
2009This introduction provides an overview of the missions and activities of the two involved research centres, CENS (Centre for Nonlinear Studies) in Tallinn, Estonia, and CMA (Centre of Mathematics for Applications) in Oslo, Norway. It also gives a description of the main features of the EU FP6 Marie Curie Transfer of Knowledge project CENS-CMA, from ...
Jüri Engelbrecht +2 more
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Optimizing CMA-ES with CMA-ES - Data and Code
2023Data and Code - Conference Paper at ECTA Optimizing CMA-ES with CMA ...
Thomaser, André +3 more
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