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CEC
2005
IEEE
15 years 5 months ago
Sequential parameter optimization
Abstract- Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate...
Thomas Bartz-Beielstein, Christian Lasarczyk, Mike...
KES
2004
Springer
15 years 5 months ago
Extracting Stellar Population Parameters of Galaxies from Photometric Data Using Evolution Strategies and Locally Weighted Linea
There is now a huge amount of high quality photometric data available in the literature whose analysis is bound to play a fundamental role in studies of the formation and evolution...
Luis Alvarez, Olac Fuentes, Roberto Terlevich
UAI
1996
15 years 1 months ago
An evaluation of structural parameters for probabilistic reasoning: Results on benchmark circuits
Many algorithms for processing probabilistic networks are dependent on the topological properties of the problem's structure. Such algorithmse.g., clustering, conditioning ar...
Yousri El Fattah, Rina Dechter
IJCV
2006
116views more  IJCV 2006»
14 years 11 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...
TSP
2010
14 years 6 months ago
Estimating multiple frequency-hopping signal parameters via sparse linear regression
Abstract--Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating...
Daniele Angelosante, Georgios B. Giannakis, Nichol...