Uncertainty in Artificial Intelligence
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Evaluation of Uncertain Inference Models III: The Role of Tuning
Ben Wise, Bruce Perrin, David Vaughan, Robert Yadrick
Abstract:
This study examined the effects of "tuning" the parameters of the incremental function of MYCIN, the independent function of PROSPECTOR, a probability model that assumes independence, and a simple additive linear equation. me parameters of each of these models were optimized to provide solutions which most nearly approximated those from a full probability model for a large set of simple networks. Surprisingly, MYCIN, PROSPECTOR, and the linear equation performed equivalently; the independence model was clearly more accurate on the networks studied.
Keywords: MYCIN, PROSPECTOR, Independence Model, Tuning
Pages: 55-62
PS Link:
PDF Link: /papers/87/p55-wise.pdf
BibTex:
@INPROCEEDINGS{Wise87,
AUTHOR = "Ben Wise and Bruce Perrin and David Vaughan and Robert Yadrick",
TITLE = "Evaluation of Uncertain Inference Models III: The Role of Tuning",
BOOKTITLE = "Uncertainty in Artificial Intelligence 3 Annual Conference on Uncertainty in Artificial Intelligence (UAI-87)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1987",
PAGES = "55--62"
}


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