Uncertainty in Artificial Intelligence
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Representing and Combining Partially Specified CPTs
Suzanne Mahoney, Kathryn Laskey
Abstract:
This paper extends previous work with network fragments and situation-specific network construction. We formally define the asymmetry network, an alternative representation for a conditional probability table. We also present an object-oriented representation for partially specified asymmetry networks. We show that the representation is parsimonious. We define an algebra for the elements of the representation that allows us to 'factor' any CPT and to soundly combine the partially specified asymmetry networks.
Keywords: Bayesian networks, CPTs, Network Fragments
Pages: 391-400
PS Link:
PDF Link: /papers/99/p391-mahoney.pdf
BibTex:
@INPROCEEDINGS{Mahoney99,
AUTHOR = "Suzanne Mahoney and Kathryn Laskey",
TITLE = "Representing and Combining Partially Specified CPTs",
BOOKTITLE = "Proceedings of the Fifteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-99)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1999",
PAGES = "391--400"
}


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