243 search results - page 31 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
GECCO
2007
Springer
14 years 1 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...
SMA
2008
ACM
13 years 7 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
14 years 8 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
14 years 8 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
13 years 12 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...