Dynamic Construction of Belief Networks
Abstract
We describe a method for incrementally constructing belief networks. We have developed a networkconstruction language similar to a forward-chaining language using data dependencies, but with additional features for specifying distributions. Using this language, we can define parameterized classes of probabilistic 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.
Cite
Text
Goldman and Charniak. "Dynamic Construction of Belief Networks." Conference on Uncertainty in Artificial Intelligence, 1990.Markdown
[Goldman and Charniak. "Dynamic Construction of Belief Networks." Conference on Uncertainty in Artificial Intelligence, 1990.](https://mlanthology.org/uai/1990/goldman1990uai-dynamic/)BibTeX
@inproceedings{goldman1990uai-dynamic,
title = {{Dynamic Construction of Belief Networks}},
author = {Goldman, Robert P. and Charniak, Eugene},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1990},
pages = {171-184},
url = {https://mlanthology.org/uai/1990/goldman1990uai-dynamic/}
}