271 search results - page 34 / 55 » Bayesian Reward Filtering |
100
click to vote
TIP
2010
14 years 4 months ago
2010
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
107
click to vote
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
– In Bayesian based approaches to mobile robot simultaneous localization and mapping, Rao-Blackwellized particle filters (RBPF) enable the efficient estimation of the posterior b...
72
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
ATAL
2005
Springer
15 years 3 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...
ICC
2009
IEEE
15 years 4 months ago
2009
IEEE
— In this paper, we introduce robust cyclic space– frequency (CSF) filtering for systems combining bit–interleaved coded modulation (BICM) and orthogonal frequency division ...