bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0562471 |
utime |
20230316105710.7 |
mtime |
20221017235959.9 |
SCOPUS |
85138779525 |
WOS |
000874763000020 |
DOI |
10.1007/978-3-031-17801-6_20 |
title
(primary) (eng) |
On Conditional Belief Functions in the Dempster-Shafer Theory |
specification |
page_count |
12 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0562470 |
ISBN |
978-3-031-17800-9 |
ISSN |
0302-9743 |
title
|
Belief Functions: Theory and Applications. BELIEF 2022 |
page_num |
207-218 |
publisher |
place |
Cham |
name |
Springer International Publishing |
year |
2022 |
|
editor |
name1 |
Le Hégarat-Mascle |
name2 |
Sylvie |
|
editor |
name1 |
Bloch |
name2 |
Isabelle |
|
editor |
name1 |
Aldea |
name2 |
Emanuel |
|
|
keyword |
Dempster-Shafer belief function theory |
keyword |
Conditional belief functions |
keyword |
Smets’ conditional embedding |
author
(primary) |
ARLID |
cav_un_auth*0101118 |
name1 |
Jiroušek |
name2 |
Radim |
institution |
UTIA-B |
full_dept (cz) |
Matematická teorie rozhodování |
full_dept (eng) |
Department of Decision Making Theory |
department (cz) |
MTR |
department (eng) |
MTR |
full_dept |
Department of Decision Making Theory |
share |
33 |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0216188 |
name1 |
Kratochvíl |
name2 |
Václav |
institution |
UTIA-B |
full_dept (cz) |
Matematická teorie rozhodování |
full_dept |
Department of Decision Making Theory |
department (cz) |
MTR |
department |
MTR |
full_dept |
Department of Decision Making Theory |
country |
CZ |
share |
33 |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0438050 |
name1 |
Shennoy |
name2 |
P. P. |
country |
US |
share |
33 |
garant |
K |
|
source |
|
cas_special |
project |
project_id |
GA19-06569S |
agency |
GA ČR |
country |
CZ |
ARLID |
cav_un_auth*0380559 |
|
abstract
(eng) |
The primary goal is to define conditional belief functions in the Dempster-Shafer theory. We do so similar to the notion of conditional probability tables in probability theory. Conditional belief functions are necessary for constructing directed graphical belief function models in the same sense as conditional probability tables for constructing Bayesian networks. Besides defining conditional belief functions, we state and prove a few basic properties of conditionals. We provide several examples of conditional belief functions, including those obtained by Smets’ conditional embedding. |
action |
ARLID |
cav_un_auth*0438054 |
name |
International Conference on Belief Functions 2022 /7./ |
dates |
20221026 |
mrcbC20-s |
20221028 |
place |
Paris |
country |
FR |
|
RIV |
BB |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10103 |
reportyear |
2023 |
num_of_auth |
3 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
permalink |
https://hdl.handle.net/11104/0336396 |
confidential |
S |
mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Theory Methods |
arlyear |
2022 |
mrcbU14 |
85138779525 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000874763000020 WOS |
mrcbU63 |
cav_un_epca*0562470 Belief Functions: Theory and Applications. BELIEF 2022 Springer International Publishing 2022 Cham 207 218 978-3-031-17800-9 Lecture Notes in Computer Science 13506 0302-9743 1611-3349 |
mrcbU67 |
Le Hégarat-Mascle Sylvie 340 |
mrcbU67 |
Bloch Isabelle 340 |
mrcbU67 |
Aldea Emanuel 340 |
|