4 search results - page 1 / 1 » Improving Importance Sampling by Adaptive Split-Rejection Co... |
AI
2007
Springer
13 years 11 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...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
NOCS
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper we examine a latency insensitive network composed of very fast and simple circuits that connects SoC cores that are also latency insensitive, de-synchronized, or asy...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
The ability of a sensor node to determine its physical location within a network (Localization) is of fundamental importance in sensor networks. Interpretating data from sensors i...