1355 search results - page 211 / 271 » Bayesian networks |
101
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ECSQARU
1999
Springer
15 years 3 months ago
1999
Springer
: In this paper we consider the problem of inducing causal relations from statistical data. Although it is well known that a correlation does not justify the claim of a causal rela...
102
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EDOC
2009
IEEE
15 years 3 months ago
2009
IEEE
- Poor data in information systems impede the quality of decision-making in many modern organizations. Manual business process activities and application services are never execute...
AI
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
ATAL
2006
Springer
15 years 3 months ago
2006
Springer
Multiagent probabilistic reasoning with multiply sectioned Bayesian networks requires interfacing agent subnets (the modeling task) subject to a set of conditions. To specify the ...
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...