2103 search results - page 142 / 421 » Approximate Learning of Dynamic Models |
159
click to vote
ICLP
2010
Springer
15 years 8 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 ...
163
click to vote
ESANN
2001
15 years 6 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...
131
click to vote
ICRA
2010
IEEE
15 years 3 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...
133
click to vote
NIPS
1998
15 years 6 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...
179
click to vote
WSC
2007
15 years 7 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...