417 search results - page 54 / 84 » Bayesian inference in estimation of distribution algorithms |
CSDA
2008
13 years 8 months ago
2008
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recently, the maximum likelihood estimator (MLE) and Cramer-Rao Lower Bound (CRLB) were proposed with the goal of maximizing and assessing the synchronization accuracy in wireless...
IPSN
2009
Springer
14 years 2 months ago
2009
Springer
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
UAI
2000
13 years 9 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...