Exploiting Uncertain and Temporal Information in Correlation
Abstract
A modelling language is decribed which is suitable for the correlation of information when the underlying functional model of the system is incomplete or uncertain and the temporal dependencies are imprecise. An efficient md incremental implementation is outlined which depends on cost functions satisfying certain criteria. Possibilistic logic and probability theory (as it is used in the applications targetted) satisfy these criteria.
Cite
Text
Bigham. "Exploiting Uncertain and Temporal Information in Correlation." Conference on Uncertainty in Artificial Intelligence, 1997.Markdown
[Bigham. "Exploiting Uncertain and Temporal Information in Correlation." Conference on Uncertainty in Artificial Intelligence, 1997.](https://mlanthology.org/uai/1997/bigham1997uai-exploiting/)BibTeX
@inproceedings{bigham1997uai-exploiting,
title = {{Exploiting Uncertain and Temporal Information in Correlation}},
author = {Bigham, John},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1997},
pages = {22-29},
url = {https://mlanthology.org/uai/1997/bigham1997uai-exploiting/}
}