2103 search results - page 67 / 421 » Approximate Learning of Dynamic Models |
122
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IJCAI
1989
15 years 3 months ago
1989
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
116
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ENTCS
2010
15 years 2 months ago
2010
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...
108
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ISIPTA
2003
IEEE
15 years 7 months ago
2003
IEEE
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
116
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ASUNAM
2009
IEEE
15 years 9 months ago
2009
IEEE
—We study information diffusion in real-life and synthetic dynamic networks, using well known threshold and cascade models of diffusion. Our test-bed is the communication network...
123
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ICRA
2007
IEEE
15 years 8 months ago
2007
IEEE
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...