An empirical comparison of three inference methods

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abstract: In this paper, an empirical evaluation of three inference methods for uncertain reasoning is presented n the context of Pathfinder, a large expert system for the diagnosis of lymph-node pathology. The inference procedures evaluated are (1) Bayes' theorem, assuming evidence is conditionally independent given each hypothesis; (2) odds-likelihood updating, assuming evidence is conditionally independent given each hypothesis and given the negation of each hypothesis; and (3) a inference method related to the Dempster-Shafer theory of belief. Both expert-rating and decision-theoretic metrics are used to compare the diagnostic accuracy of the inference methods.

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AbstractIn this paper, an empirical evaluation of In this paper, an empirical evaluation of three inference methods for uncertain reasoning is presented n the context of Pathfinder, a large expert system for the diagnosis of lymph-node pathology. The inference procedures evaluated are (1) Bayes' theorem, assuming evidence is conditionally independent given each hypothesis; (2) odds-likelihood updating, assuming evidence is conditionally independent given each hypothesis and given the negation of each hypothesis; and (3) a inference method related to the Dempster-Shafer theory of belief. Both expert-rating and decision-theoretic metrics are used to compare the diagnostic accuracy of the inference methods. gnostic accuracy of the inference methods.
AuthorDavid Heckerman  +
Bibtypetechreport  +
InstitutionKnowledge Systems, AI Laboratory  +
KeyKSL-88-38  +
NumberKSL-88-38  +
TagComputer science  +
TitleAn Empirical Comparison of Three Inference Methods  +
Tr idKSL-88-38  +
Year1990  +
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