156 search results - page 3 / 32 » Learning Relational Kalman Filtering |
JCNS
2010
13 years 5 months ago
2010
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
DCOSS
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. We consider the problem of estimating the locations of mobile agents by fusing the measurements of displacements of the agents as well as relative position measurements b...
IJON
2002
13 years 10 months ago
2002
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
DIS
2006
Springer
14 years 9 days ago
2006
Springer
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
EWRL
2008
14 years 3 days ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...