Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Vaughan, David S."'
Expert systems applications that involve uncertain inference can be represented by a multidimensional contingency table. These tables offer a general approach to inferring with uncertain evidence, because they can embody any form of association betwe
Externí odkaz:
http://arxiv.org/abs/1304.3434
This paper examines the accuracy of the PROSPECTOR model for uncertain reasoning. PROSPECTOR's solutions for a large number of computer-generated inference networks were compared to those obtained from probability theory and minimum cross-entropy cal
Externí odkaz:
http://arxiv.org/abs/1304.3117
This study examined the effects of "tuning" the parameters of the incremental function of MYCIN, the independent function of PROSPECTOR, a probability model that assumes independence, and a simple additive linear equation. me parameters of each of th
Externí odkaz:
http://arxiv.org/abs/1304.2748
This study compares the inherent intuitiveness or usability of the most prominent methods for managing uncertainty in expert systems, including those of EMYCIN, PROSPECTOR, Dempster-Shafer theory, fuzzy set theory, simplified probability theory (assu
Externí odkaz:
http://arxiv.org/abs/1304.1533
Autor:
Perrin, Bruce M., Vaughan, David S.
Publikováno v:
Behavior Research Methods, Instruments, & Computers; Aug98, Vol. 30 Issue 3, p432, 9p
Publikováno v:
International Journal of Man-Machine Studies; June 1993, Vol. 38 Issue: 6 p923-947, 25p
Publikováno v:
In Expert Systems With Applications 1992 5(1):43-49
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Machine Intelligence and Pattern Recognition 1990 10:445-455
Publikováno v:
In Machine Intelligence and Pattern Recognition 1988 5:77-87