2868 search results - page 97 / 574 » Inference in Bayesian Networks |
200
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UAI
1998
15 years 7 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
183
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UAI
1996
15 years 7 months ago
1996
Inference algorithms for arbitrary belief networks are impractical for large, complex belief networks. Inference algorithms for specialized classes of belief networks have been sh...
157
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Applications such as traffic engineering and network provisioning can greatly benefit from knowing, in real time, what is the largest input rate at which it is possible to transmit...
282
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ICAART
2010
INSTICC
16 years 3 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
185
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ECAI
2004
Springer
15 years 11 months ago
2004
Springer
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...