Uncertainty in Artificial Intelligence
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A Modification to Evidential Probability
Bülent Murtezaoglu, Henry Kyburg Jr.
Abstract:
Selecting the right reference class and the right interval when faced with conflicting candidates and no possibility of establishing subset style dominance has been a problem for Kyburg's Evidential Probability system. Various methods have been proposed by Loui and Kyburg to solve this problem in a way that is both intuitively appealing and justifiable within Kyburg's framework. The scheme proposed in this paper leads to stronger statistical assertions without sacrificing too much of the intuitive appeal of Kyburg's latest proposal.
Keywords:
Pages: 228-231
PS Link:
PDF Link: /papers/91/p228-murtezaoglu.pdf
BibTex:
@INPROCEEDINGS{Murtezaoglu91,
AUTHOR = "Bülent Murtezaoglu and Henry Kyburg Jr.",
TITLE = "A Modification to Evidential Probability",
BOOKTITLE = "Proceedings of the Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-91)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1991",
PAGES = "228--231"
}


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