| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9651736 | International Journal of Approximate Reasoning | 2005 | 18 Pages |
Abstract
This paper presents an overview of graphical models that can handle imprecision in probability values. The paper first reviews basic concepts and presents a brief historical account of the field. The main characteristics of the credal network model are then discussed, as this model has received considerable attention in the literature.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Fabio Gagliardi Cozman,