455 search results - page 11 / 91 » Adaptive Sampling for Noisy Problems |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
DEXA
2009
Springer
14 years 2 months ago
2009
Springer
The alignment of noisy and uniformly scaled time series is an important but difficult task. Given two time series, one of which is a uniformly stretched subsequence of the other, w...
AI
2007
Springer
14 years 1 months ago
2007
Springer
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
CGI
2004
IEEE
13 years 11 months ago
2004
IEEE
Sampling issue is an important problem in image based rendering. In this paper, we propose an adaptive sampling method to improve the Layered Depth Image framework. Different from...
CAEPIA
2003
Springer
14 years 21 days ago
2003
Springer
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...