Dynamic construction of belief networks
نویسندگان
چکیده
We describe a method for incrementally construct ing belief networks. We have developed a network construction language similar to a forward-chaining lan guage using data dependencies, but with additional features for specifying distributions. Using this lan guage, we can define parameterized classes of proba bilistic models. These parameterized models make it possible to apply probabilistic reasoning to problems for which it is impractical to have a single large, static model.
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