455 search results - page 18 / 91 » Adaptive Sampling for Noisy Problems |
IMC
2006
ACM
14 years 1 months ago
2006
ACM
We present an algorithm, Shared-State Sampling (S3 ), for the problem of detecting large flows in high-speed networks. While devised with different principles in mind, S3 turns ...
SSDBM
2010
IEEE
13 years 5 months ago
2010
IEEE
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
EPS
1998
Springer
13 years 11 months ago
1998
Springer
We investigate the following question. Do populations of evolving agents adapt only to their recent environment or do general adaptive features appear over time? We find statistica...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...