Uncertainty in Artificial Intelligence
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Maximum Uncertainty Procedures for Interval-Valued Probability Distributions
Michael Pittarelli
Abstract:
Measures of uncertainty and divergence are introduced for interval-valued probability distributions and are shown to have desirable mathematical properties. A maximum uncertainty inference procedure for marginal interval distributions is presented. A technique for reconstruction of interval distributions from projections is developed based on this inference procedure
Keywords:
Pages: 279-286
PS Link:
PDF Link: /papers/89/p279-pittarelli.pdf
BibTex:
@INPROCEEDINGS{Pittarelli89,
AUTHOR = "Michael Pittarelli ",
TITLE = "Maximum Uncertainty Procedures for Interval-Valued Probability Distributions",
BOOKTITLE = "Proceedings of the Fifth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-89)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1989",
PAGES = "279--286"
}


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