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GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 2 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
PCM
2004
Springer
146views Multimedia» more  PCM 2004»
15 years 3 months ago
Optimum End-to-End Distortion Estimation for Error Resilient Video Coding
End-to-end distortion estimation plays an important role in error-resilient video coding. The intuitive method is to simulate the decoding process many times at the encoder, as use...
Yuan Zhang, Qingming Huang, Yan Lu, Wen Gao
ENTCS
2008
87views more  ENTCS 2008»
14 years 9 months ago
A Lightweight Approach for the Semantic Validation of Model Refinements
Model Driven Engineering proposes the use of models at different levels of ion. Step by step validation of model refinements is necessary to guarantee the correctness of the final ...
Claudia Pons, Diego García
IJCSA
2007
100views more  IJCSA 2007»
14 years 9 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
ICCS
2004
Springer
15 years 3 months ago
Velocity Field Modelling for Pollutant Plume Using 3-D Adaptive Finite Element Method
Air pollution models usually start from the computation of the velocity field of a fluid. In this paper, we present a model for computing that field based on the contribution of...
Gustavo Montero, Rafael Montenegro, José Ma...