bibtype C - Conference Paper (international conference)
ARLID 0352979
utime 20240103194503.0
mtime 20110103235959.9
WOS 000289216000076
SCOPUS 80052997443
DOI 10.1007/978-3-642-14746-3_76
title (primary) (eng) An alternative approach to evidential network construction
specification
page_count 8 s.
serial
ARLID cav_un_epca*0350719
ISBN 978-3-642-14745-6
ISSN 1867-5662
title Combining Soft Computing and Statistical Methods in Data Analysis
page_num 619-626
publisher
place Berlin, Heidelberg
name Springer-Verlag
year 2010
editor
name1 Borgelt
name2 Ch.
editor
name1 Gonzales-Rodriguez
name2 G.
editor
name1 Trutschnig
name2 W.
editor
name1 Lubiano
name2 M.A.
editor
name1 Gil
name2 M.A.
editor
name1 Grzegorzewski
name2 P.
editor
name1 Hryniewicz
name2 O.
keyword belief network
keyword conditional independence
keyword evidence theory
author (primary)
ARLID cav_un_auth*0101223
name1 Vejnarová
name2 Jiřina
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2010/MTR/vejnarova-an alternative approach to evidential network construction.pdf
cas_special
project
project_id GA201/09/1891
agency GA ČR
ARLID cav_un_auth*0253175
research CEZ:AV0Z10750506
abstract (eng) We present an alternative approach to belief network construction based on operator of composition of basic assignments. We show that belief networks constructed in this way have similar structural properties to Bayesian networks in contrary to previously proposed directed evidential networks by Ben Yaghlane et al.
action
ARLID cav_un_auth*0267691
name Soft Methods in Probability and Statistics
place Oviedo
dates 28.09.2010-01.10.2010
country ES
reportyear 2011
RIV BA
permalink http://hdl.handle.net/11104/0192341
mrcbC86 n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Software Engineering|Computer Science Theory Methods|Statistics Probability
arlyear 2010
mrcbU14 80052997443 SCOPUS
mrcbU34 000289216000076 WOS
mrcbU63 cav_un_epca*0350719 Combining Soft Computing and Statistical Methods in Data Analysis 978-3-642-14745-6 1867-5662 619 626 Berlin, Heidelberg Springer-Verlag 2010
mrcbU67 Borgelt Ch. 340
mrcbU67 Gonzales-Rodriguez G. 340
mrcbU67 Trutschnig W. 340
mrcbU67 Lubiano M.A. 340
mrcbU67 Gil M.A. 340
mrcbU67 Grzegorzewski P. 340
mrcbU67 Hryniewicz O. 340