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» Optimal Conclusive Sets for Comparator Networks
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BMCBI
2006
146views more  BMCBI 2006»
13 years 6 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
13 years 10 months ago
A comparative study of differential evolution variants for global optimization
In this paper, we present an empirical comparison of some Differential Evolution variants to solve global optimization problems. The aim is to identify which one of them is more s...
Efrén Mezura-Montes, Jesús Vel&aacut...
ICCCN
2007
IEEE
14 years 18 days ago
Transport Protocols for Remote Programming of Network Robots within the context of Telelaboratories for Education: A Comparative
– Within the context of Tele-Laboratories for Education the use of the Internet as communication media permits any researcher/student to perform remote experiments in a simple an...
Raul Wirz, Raúl Marín, José M...
ICANN
2009
Springer
13 years 10 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
BMEI
2008
IEEE
14 years 22 days ago
A Retrospective Comparative Study of Three Data Modelling Techniques in Anticoagulation Therapy
Three types of data modelling technique are applied retrospectively to individual patients’ anticoagulation therapy data to predict their future levels of anticoagulation. The r...
Simon McDonald, Costas S. Xydeas, Plamen P. Angelo...