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» Evaluation of a Bayesian model-based approach in GA studies
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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
13 years 11 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
CEC
2007
IEEE
13 years 9 months ago
Solving, rating and generating Sudoku puzzles with GA
This paper studies the problems involved in solving, rating and generating Sudoku puzzles with genetic algorithms (GA). Sudoku is a number puzzle that has recently become a worldwi...
Timo Mantere, Janne Koljonen
DAGM
2003
Springer
13 years 11 months ago
A Generative Model Based Approach to Motion Segmentation
We address the question of how to choose between different likelihood functions for motion estimation. To this end, we formulate motion estimation as a problem of Bayesian inferen...
Daniel Cremers, Alan L. Yuille
ISAS
2004
Springer
13 years 11 months ago
A Modular Approach for Model-Based Dependability Evaluation of a Class of Systems
Analytical and simulative modeling for dependability and performance evaluation has been proven to be a useful and versatile approach in all the phases of the system life cycle. I...
Stefano Porcarelli, Felicita Di Giandomenico, Paol...
CVPR
2007
IEEE
14 years 4 days ago
EDA Approach for Model Based Localization and Recognition of Vehicles
We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle...
Zhaoxiang Zhang, Weishan Dong, Kaiqi Huang, Tieniu...