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Home > Symbolic and Quantitative Approaches to Uncertainty: European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings > Using maximum entropy to identify unsafe assumptions in probabilistic expert systems
Symbolic and Quantitative Approaches to Uncertainty: European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings |
Rudolf Kruse; Pierre Siegel
Springer Berlin Heidelberg
Symbolic and Quantitative Approaches to Uncertainty: European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings
Using maximum entropy to identify unsafe assumptions in probabilistic expert systems
Authors

Paul C. Rhodes; Gerald R. Garside

ARI Id

1664943508487_4170791

Access

Not Available Free

Pages

292-296

DOI

10.1007/3-540-54659-6_104

Chapter URL

https://rd.springer.com/chapter/10.1007/3-540-54659-6_104

Table of Contents of Book
Showing 1 to 20 of 59 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Abduction in labelled deductive systems a conceptual abstract
D. M. Gabbay
1-11
Nonmonotonic inference, expectations, and neural networks
Peter Gärdenfors
12-27
Introduction
29-32
Imprecise quantifiers and conditional probabilities
Stéphane Amarger; Didier Dubois; Henri Prade
33-37
Default logics
Philippe Besnard
38-41
Propagation of uncertainty in dependence graphs
José Cano; Miguel Delgado; Serafín Moral
42-47
Efficient algorithms for belief functions based on the relationship between belief and probability
Mike Clarke; Nic Wilson
48-52
A brief overview of possibilistic logic
Didier Dubois; Jérôme Lang; Henri Prade
53-57
A modal analysis of possibility theory
Luis Fariñas del Cerro; Andreas Herzig
58-62
An extended logic language for representing belief
John Fox; Paul Krause; Mirko Dohnal
63-69
Graded default logics
Christine Froidevaux; Philippe Chatalic; Jérôme Mengin
70-75
Linguistically expressed uncertainty: Its elicitation and use in modular expert systems
L. Godo; R. Lopez de Mantaras
76-80
Reasoning with mass distributions and the context model
R. Kruse; J. Gebhardt; F. Klawonn
81-85
Advance prototyping
Simon Parsons
86-90
The transferable belief model
Ph. Smets; Y. -T. Hsia; A. Saffiotti; R. Kennes; H. Xu; E. Umkehren
91-96
Learning with CASTLE
S. Acid; L. M. de Campos; A. González; R. Molina; N. Pérez de la Blanca
97-106
A New approach to inference under uncertainty for knowledge based systems
J. F. Baldwin
107-114
Learning of uncertain classification rules in medical diagnosis
Elisabetta Binaghi
115-119
Assertional default theories
Gerhard Brewka
120-124
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 59 entries
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