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120
Voted
ECSQARU
2007
Springer
15 years 8 months ago
2007
Springer
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
110
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IJCNN
2000
IEEE
15 years 7 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
125
Voted
NIPS
2000
15 years 4 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
103
Voted
IJAR
2006
15 years 2 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
102
Voted
WWW
2007
ACM
16 years 3 months ago
2007
ACM
This paper makes an intensive investigation of the application of Bayesian network in sentence retrieval and introduces three Bayesian network based sentence retrieval models with...