1423 search results - page 102 / 285 » Object-Oriented Bayesian Networks |
KES
2005
Springer
15 years 6 months ago
2005
Springer
This paper presents a technique for an intelligent robot to adaptively behave in unforeseen and dynamic circumstances. Since the traditional methods utilized the relatively reliabl...
110
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ECAI
2008
Springer
15 years 2 months ago
2008
Springer
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...
94
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HCI
2007
15 years 2 months ago
2007
To reduce the workload of the driver due to the increasing amount of information and functions, intelligent agents represent a promising possibility to filter the immense data sets...
85
Voted
UAI
2003
15 years 2 months ago
2003
The paper studies empirically the time-space trade-off between sampling and inference in the cutset sampling algorithm. The algorithm samples over a subset of nodes in a Bayesian ...
117
Voted
UAI
2000
15 years 2 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...