243 search results - page 31 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
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SMA
2008
ACM
14 years 9 months ago
2008
ACM
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
VLSID
2002
IEEE
15 years 10 months ago
2002
IEEE
Switching activity estimation is a crucial step in estimating dynamic power consumption in CMOS circuits. In [1], we proposed a new switching probability model based on Bayesian N...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
CVPR
1999
IEEE
15 years 2 months ago
1999
IEEE
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...