1423 search results - page 229 / 285 » Object-Oriented Bayesian Networks |
96
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AI
2006
Springer
15 years 4 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...
93
Voted
ATAL
2006
Springer
15 years 4 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 ...
111
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ECML
2006
Springer
15 years 4 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...
103
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EUROPAR
2006
Springer
15 years 4 months ago
2006
Springer
Next location prediction anticipates a person's movement based on the history of previous sojourns. It is useful for proactive actions taken to assist the person in an ubiquit...
ISMIS
2000
Springer
15 years 4 months ago
2000
Springer
There is current interest in generalizing Bayesian networks by using dependencies which are more general than probabilistic conditional independence (CI). Contextual dependencies, ...