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IJAR
2007
100views more  IJAR 2007»
13 years 7 months ago
Multisensor triplet Markov chains and theory of evidence
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology, Communications, Ecology, Econometrics and Finances, ...
Wojciech Pieczynski
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...
WSC
1998
13 years 9 months ago
A Comparison of RESTART Implementations
The RESTART method is a widely applicable simulation technique for the estimation of rare event probabilities. The method is based on the idea to restart the simulation in certain...
Marnix J. J. Garvels, Dirk P. Kroese
PAMI
2010
417views more  PAMI 2010»
13 years 6 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 8 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson