Context-specific Sign-propagation in Qualitative Probabilistic Networks
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. Pages 667-671.
Abstract
Qualitative probabilistic networks represent probabilistic influences between variables. Due to the level of representation detail provided, knowledge about influences that hold only in specific contexts cannot be expressed. The results computed from a qualitative network, as a consequence, can be quite weak and uninformative. We extend the basic formalism of qualitative probabilistic networks by providing for the inclusion of context-specific information about influences and show that exploiting this information upon inference has the ability to forestall unnecessarily weak results.
@inproceedings{ijcai2001p92,
title = {Context-specific Sign-propagation in Qualitative Probabilistic Networks},
author = {Renooij, Silja and Parsons, Simon and van der Gaag, Linda C.},
booktitle = {Proceedings of the Seventeenth International Joint Conference on
Artificial Intelligence, {IJCAI-01}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {667--671},
year = {2001},
url = {https://ijcai.org/proceedings/2001/92},
}
TY - CPAPER TI - Context-specific Sign-propagation in Qualitative Probabilistic Networks AU - Renooij, Silja AU - Parsons, Simon AU - van der Gaag, Linda C. T2 - Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01 PB - International Joint Conferences on Artificial Intelligence PY - 2001 SP - 667 EP - 671 UR - https://ijcai.org/proceedings/2001/92 ER -Copied
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