bibtype J - Journal Article
ARLID 0439574
utime 20240903170631.4
mtime 20150120235959.9
SCOPUS 84901434883
WOS 000337929500006
DOI 10.14736/kyb-2014-2-0246
title (primary) (eng) A Comparison of Evidential Networks and Compositional Models
specification
page_count 22 s.
media_type P
serial
ARLID cav_un_epca*0297163
ISSN 0023-5954
title Kybernetika
volume_id 50
volume 2 (2014)
page_num 246-267
publisher
name Ústav teorie informace a automatizace AV ČR, v. v. i.
keyword evidence theory
keyword graphical models
keyword conditional independence
author (primary)
ARLID cav_un_auth*0101223
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 100
name1 Vejnarová
name2 Jiřina
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2014/MTR/vejnarova-0439574.pdf
cas_special
project
ARLID cav_un_auth*0292670
project_id GA13-20012S
agency GA ČR
abstract (eng) Several counterparts of Bayesian networks based on different paradigms have been proposed in evidence theory. Nevertheless, none of them is completely satisfactory. In this paper we will present a new one, based on a recently introduced concept of conditional independence. We define a conditioning rule for variables, and the relationship between conditional independence and irrelevance is studied with the aim of constructing a Bayesian-network-like model. Then, through a simple example, we will show a problem appearing in this model caused by the use of a conditioning rule. We will also show that this problem can be avoided if undirected or compositional models are used instead.
RIV BA
reportyear 2015
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0242968
confidential S
mrcbT16-e COMPUTERSCIENCECYBERNETICS
mrcbT16-j 0.339
mrcbT16-s 0.369
mrcbT16-4 Q2
mrcbT16-B 42.435
mrcbT16-C 14.583
mrcbT16-D Q3
mrcbT16-E Q3
arlyear 2014
mrcbU14 84901434883 SCOPUS
mrcbU34 000337929500006 WOS
mrcbU63 cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 50 č. 2 2014 246 267 Ústav teorie informace a automatizace AV ČR, v. v. i.