9787 search results - page 803 / 1958 » A Utile Function Optimizer |
212
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GECCO
2010
Springer
2010
Springer
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed
15 years 9 months ago
Sequential selection was introduced for Evolution Strategies (ESs) with the aim of accelerating their convergence— performing the evaluations of the different offspring sequen...
221
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ACL
2006
15 years 9 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
197
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SIAMJO
2000
15 years 7 months ago
2000
We study the problem of minimizing a sum of p-norms where p is a fixed real number in the interval [1, ]. Several practical algorithms have been proposed to solve this problem. How...
218
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IJCV
2002
15 years 7 months ago
2002
In this paper, a new hierarchical stereo algorithm is presented. The algorithm matches individual pixels in corresponding scanlines by minimizing a cost function. Several cost fun...
222
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CVPR
2006
IEEE
16 years 9 months ago
2006
IEEE
In order to work well, many computer vision algorithms require that their parameters be adjusted according to the image noise level, making it an important quantity to estimate. W...