156 search results - page 1 / 32 » Learning Relational Kalman Filtering |
109
Voted
INFORMATICALT
2002
15 years 3 days ago
2002
The problem of recursive estimation of a state of dynamic systems in the presence of time-varying outliers in observations to be processed has been considered. A learning phase use...
ICML
2001
IEEE
2001
IEEE
A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal Difference Learning
16 years 1 months ago
91
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
We introduce a modified Kalman filter that performs robust, real-time outlier detection, without the need for manual parameter tuning by the user. Systems that rely on high quali...
DIS
2006
Springer
15 years 4 months ago
2006
Springer
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
115
Voted
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...