|
KU ScholarWorks >
School of Business >
School of Business Articles >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1808/146
|
|
View usage statistics
|
Full metadata record
| DC Field | Value | Language |
|---|
| dc.contributor.author | Cobb, Barry R. | - |
| dc.contributor.author | Shenoy, Prakash P. | - |
| dc.date.accessioned | 2004-12-14T17:25:06Z | - |
| dc.date.available | 2004-12-14T17:25:06Z | - |
| dc.date.issued | 2003-12 | - |
| dc.identifier.citation | Information Systems Frontiers, Vol. 5, No. 4, 2003, pp. 345--358 | en |
| dc.identifier.issn | 1387-3326 | - |
| dc.identifier.uri | http://hdl.handle.net/1808/146 | - |
| dc.description.abstract | The goal of this paper is to compare the similarities and differences between Bayesian and belief function reasoning. Our main conclusion is that although there are obvious differences in semantics, representations, the rules for combining and marginalizing representations, there are many similarities. We claim that the two calculi have roughly the same expressive power. Each calculus has its own semantics that allow us to construct models suited for these semantics. Once we have a model in either calculus, one can transform it to the other by means of a suitable transformation. | en |
| dc.format.extent | 433530 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.publisher | Kluwer Academic Publishers | en |
| dc.subject | Bayesian networks | en |
| dc.subject | Dempster-Shafer belief functions | en |
| dc.subject | valuation-based systems | en |
| dc.title | A Comparison of Bayesian and Belief Function Reasoning | en |
| dc.type | Article | en |
| Appears in Collections: | School of Business Articles
|
Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
|
top