2103 search results - page 142 / 421 » Approximate Learning of Dynamic Models |
205
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ICLP
2010
Springer
15 years 10 months ago
2010
Springer
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
201
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ESANN
2001
15 years 8 months ago
2001
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
158
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ICRA
2010
IEEE
15 years 5 months ago
2010
IEEE
Abstract— Many robotic control tasks involve complex dynamics that are hard to model. Hand-specifying trajectories that satisfy a system’s dynamics can be very time-consuming a...
172
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NIPS
1998
15 years 8 months ago
1998
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
214
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WSC
2007
15 years 9 months ago
2007
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...