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» Microdynamics of Process Evolution
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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 2 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
ASWEC
1998
IEEE
15 years 9 months ago
Supplementing Process-Oriented with Structure-Oriented Design Explanation within Formal Object Oriented Method
This paper reports the results from an action research project which studies the benefits of documenting the evolution and the rationale for the evolution of a requirements specif...
LeMai Nguyen, Paul A. Swatman, Graeme G. Shanks
BIOSYSTEMS
2008
129views more  BIOSYSTEMS 2008»
15 years 5 months ago
Reconstruction of DNA sequences using genetic algorithms and cellular automata: Towards mutation prediction?
Change of DNA sequence that fuels evolution is, to a certain extent, a deterministic process because mutagenesis does not occur in an absolutely random manner. So far, it has not ...
Ch. Mizas, Georgios Ch. Sirakoulis, Vasilios A. Ma...
129
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ICIP
2003
IEEE
16 years 6 months ago
Gesture recognition using position and appearance features
In this paper a scheme for recognizing hand gestures is presented using the output of a Condensation tracker. The tracker is used to obtain a set of features. These features consi...
Tushar Agrawal, Subhasis Chaudhuri
116
Voted
HICSS
2006
IEEE
130views Biometrics» more  HICSS 2006»
15 years 11 months ago
SERVIAM Maintenance Framework
Web services systems impose additional complexity upon software maintenance and evolution processes. To handle it, we propose a framework for evolving and maintaining Web service ...
Mira Kajko-Mattsson, Michal Tepczynski