1340 search results - page 16 / 268 » Kalman Temporal Differences |
TSP
2008
13 years 7 months ago
2008
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
EMISA
2002
Springer
13 years 7 months ago
2002
Springer
DAWN is technique for modelling and verifying network algorithms, which is based on Petri nets and temporal logic. In this paper, we present a different perspective of DAWN that al...
NN
1997
Springer
13 years 11 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
A class of nonlinear transformation-based filters (NLTF) for state estimation is proposed. The nonlinear transformations that can be used include first (TT1) and second (TT2) or...
APVIS
2011
12 years 7 months ago
2011
Many data sets exist that contain both geospatial and temporal elements. Within such data sets, it can be difficult to determine how the data have changed over spatial and tempor...