256 search results - page 43 / 52 » Uncertainties in Bayesian Geometric Models |
113
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ATAL
2008
Springer
15 years 2 months ago
2008
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
98
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NECO
2008
15 years 15 days ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
104
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
110
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ICRA
2009
IEEE
15 years 7 months ago
2009
IEEE
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
119
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IPPS
2007
IEEE
15 years 6 months ago
2007
IEEE
Heterogeneous distributed computing systems often must operate in an environment where system parameters are subject to uncertainty. Robustness can be defined as the degree to wh...