Uncertainty in Artificial Intelligence
First Name   Last Name   Password   Forgot Password   Log in!
    Proceedings   Proceeding details   Article details         Authors         Search    
Computing Probability Intervals Under Independency Constraints
Linda van der Gaag
Abstract:
Many AI researchers argue that probability theory is only capable of dealing with uncertainty in situations where a full specification of a joint probability distribution is available, and conclude that it is not suitable for application in knowledge-based systems. Probability intervals, however, constitute a means for expressing incompleteness of information. We present a method for computing such probability intervals for probabilities of interest from a partial specification of a joint probability distribution. Our method improves on earlier approaches by allowing for independency relationships between statistical variables to be exploited.
Keywords:
Pages: 491-497
PS Link:
PDF Link: /papers/90/p491-van_der_gaag.pdf
BibTex:
@INPROCEEDINGS{van der Gaag90,
AUTHOR = "Linda van der Gaag ",
TITLE = "Computing Probability Intervals Under Independency Constraints",
BOOKTITLE = "Proceedings of the Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-90)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1990",
PAGES = "491--497"
}


hosted by DSL   •   site info   •   help