1704 search results - page 50 / 341 » Learning nonlinear dynamic models |
125
Voted
ISER
1991
Springer
15 years 4 months ago
1991
Springer
Detailed knowledge of actuator properties is a prerequisite for advanced manipulator design and control. This paper deals with the experimental identification and modelling of the...
111
Voted
IDEAL
2004
Springer
15 years 6 months ago
2004
Springer
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
111
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ATAL
2008
Springer
15 years 2 months ago
2008
Springer
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
102
Voted
ICDM
2006
IEEE
15 years 6 months ago
2006
IEEE
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
101
Voted
NIPS
2003
15 years 2 months ago
2003
We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...