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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| Abstract | In 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. |
| Author | David Heckerman + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-88-38 + |
| Number | KSL-88-38 + |
| Tag | Computer science + |
| Title | An Empirical Comparison of Three Inference Methods + |
| Tr id | KSL-88-38 + |
| Year | 1990 + |

