455 search results - page 1 / 91 » Adaptive Sampling for Noisy Problems |
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
ICGA
1993
13 years 6 months ago
1993
In this paper, we present e cient algorithms for adjusting con guration parameters of genetic algorithms that operate in a noisy environment. Assuming that the population size is ...
IPSN
2005
Springer
13 years 10 months ago
2005
Springer
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...