Belief functions: Theory and applications : Proceedings of the 2nd International conference on belief functions, Compiègne, France 9-11 May 2012 /
<p>The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty. These early contrib...
Saved in:
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2012.
|
| Series: | Advances in Intelligent and Soft Computing
164 |
| Subjects: | |
| Online Access: | Click here to view the full text content |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02791nam a2200385 i 4500 | ||
|---|---|---|---|
| 001 | vtls000105643 | ||
| 003 | MY-ArUMP | ||
| 005 | 20210731152123.0 | ||
| 006 | m fo d | ||
| 007 | cr nn 008mamaa | ||
| 008 | 121130s2012 gw | fs |||| 0|eng d | ||
| 020 | |a 9783642294617 | ||
| 039 | 9 | |a 201309191048 |b SMI |c 201211302206 |d NY |y 201211141229 |z SMR | |
| 040 | |a MYPMP |b eng |c MYPMP |e rda | ||
| 245 | 1 | 0 | |a Belief functions: Theory and applications : |b Proceedings of the 2nd International conference on belief functions, Compiègne, France 9-11 May 2012 / |c edited by Thierry Denoeux, Marie-Hélène Masson. |
| 264 | 1 | |a Berlin, Heidelberg |b Springer Berlin Heidelberg |c 2012. | |
| 300 | |a 1 online resource (XII, 444 pages) |b 96 illustration, 54 illustration in colour, digital. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Advances in Intelligent and Soft Computing |x 1867-5662 |v 164 | |
| 520 | |a <p>The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories.</p><p> </p><p>This volume contains the proceedings of the 2<sup>nd</sup> International Conference on Belief Functions that was held in Compiègne, France on 9-11 May 2012. It gathers 51 contributions describing recent developments both on theoretical issues (including approximation methods, combination rules, continuous belief functions, graphical models and independence concepts) and applications in various areas including classification, image processing, statistics and intelligent vehicles.</p><p> </p><p><p> </p> | ||
| 650 | 0 | |a Engineering. | |
| 650 | 0 | |a Artificial intelligence. | |
| 700 | 1 | |a Masson, Marie-Hélène. | |
| 700 | 1 | |a Denoeux, Thierry. | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer eBooks | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642294600 |
| 830 | 0 | |a Advances in Intelligent and Soft Computing |x 1867-5662 |v 164 | |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/978-3-642-29461-7 |y Click here to view the full text content |
| 942 | |2 lcc |c BK-EBOOK | ||
| 949 | |a VIRTUAITEM |d 10011 |f 1 |x 9 | ||
| 999 | |c 48910 |d 48910 | ||
| 952 | |0 0 |1 0 |2 lcc |4 0 |7 0 |9 44549 |a FSGM |b FSGM |d 2021-07-31 |l 0 |r 2021-07-31 |t 1 |w 2021-07-31 |y BK-EBOOK | ||