Uncertainty in Artificial Intelligence
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Inference with Causal Independence in the CPSC Network
Nevin Zhang
Abstract:
This paper reports experiments with the causal independence inference algorithm proposed by Zhang and Poole (1994b) on the CPSC network created by Pradhan et al. (1994). It is found that the algorithm is able to answer 420 of the 422 possible zero-observation queries, 94 of 100 randomly generated five-observation queries, 87 of 100 randomly generated ten-observation queries, and 69 of 100 randomly generated twenty-observation queries.
Keywords: Bayesian networks, causal independence, inference.
Pages: 582-589
PS Link: ftp://ftp.cs.ust.hk/pub/lzhang/uai95.ps.gz
PDF Link: /papers/95/p582-zhang.pdf
BibTex:
@INPROCEEDINGS{Zhang95,
AUTHOR = "Nevin Zhang ",
TITLE = "Inference with Causal Independence in the CPSC Network",
BOOKTITLE = "Proceedings of the Eleventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-95)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1995",
PAGES = "582--589"
}


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