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» A hybrid approach to parameter tuning in genetic algorithms
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IJAR
2010
97views more  IJAR 2010»
13 years 6 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
GECCO
2006
Springer
182views Optimization» more  GECCO 2006»
13 years 11 months ago
Distributed genetic algorithm for energy-efficient resource management in sensor networks
In this work we consider energy-efficient resource management in an environment monitoring and hazard detection sensor network. Our goal is to allocate different detection methods...
Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzh...
CVPR
2004
IEEE
14 years 9 months ago
Probabilistic Parameter-Free Motion Detection
We propose an original probabilistic parameter-free method for the detection of independently moving objects in an image sequence. We apply a probabilistic perceptual principle, t...
Frédéric Cao, Patrick Bouthemy, Thom...
TACAS
2007
Springer
92views Algorithms» more  TACAS 2007»
14 years 1 months ago
Model Checking Liveness Properties of Genetic Regulatory Networks
Abstract. Recent studies have demonstrated the possibility to build genetic regulatory networks that confer a desired behavior to a living organism. However, the design of these ne...
Grégory Batt, Calin Belta, Ron Weiss
ICIW
2008
IEEE
14 years 2 months ago
Different Approaches to Semantic Web Service Composition
—Semantic web service composition is about finding services from a repository that are able to accomplish a specified task if executed. The task is defined in a form of a comp...
Thomas Weise, Steffen Bleul, Diana Elena Comes, Ku...