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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 5 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
CVPR
2005
IEEE
14 years 10 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 2 months ago
High quality offset printing: an evolutionary approach
Print media are still very important for everyone's daily life. Current efforts are concerned with the application of the wellestablished offset-printing technology to other ...
Ralf Joost, Ralf Salomon
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
14 years 1 months ago
Distributed genetic algorithm for subtraction radiography
Digital subtraction is a promising technique used in radiographic studies of periapical lesions and other dental disorders for which the treatment must be evaluated over time. Thi...
Gabriel Mañana, Fabio A. González, E...
JUCS
2008
172views more  JUCS 2008»
13 years 7 months ago
A Hybrid Transgenetic Algorithm for the Prize Collecting Steiner Tree Problem
: Evolutionary algorithms are effective search tools for tackling difficult optimization problems. In this paper an algorithm based on living processes where cooperation is the mai...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...