bibtype C - Conference Paper (international conference)
ARLID 0464524
utime 20240103212835.8
mtime 20161031235959.9
SCOPUS 84988651944
WOS 000389706900017
DOI 10.1007/978-3-319-45559-4_17
title (primary) (eng) IPFP and Further Experiments
specification
page_count 10 s.
media_type P
serial
ARLID cav_un_epca*0464523
ISBN 978-3-642-29460-0
ISSN 0302-9743
title Belief Functions: Theory and Applications
part_title 9861
page_num 164-173
publisher
place Switzerland
name Springer
year 2016
editor
name1 Vejnarová
name2 Jiřina
editor
name1 Kratochvíl
name2 Václav
keyword IPFP
keyword belief function
keyword operator of composition
author (primary)
ARLID cav_un_auth*0216188
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 50
name1 Kratochvíl
name2 Václav
institution UTIA-B
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101223
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
share 50
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/2016/MTR/kratochvil-0464524.pdf
cas_special
project
ARLID cav_un_auth*0332303
project_id GA16-12010S
agency GA ČR
country CZ
abstract (eng) Iterative Proportional Fitting Procedure is commonly used in probability theory for construction of a joint probability distribution from a system of its marginals. A similar idea can be used in case of belief functions thanks to special operators of composition defined in this framework. In this paper, a formerly designed IPF procedure is further studied. We propose a modification of composition operator (for the purpose of the procedure), compare the behavior of the modified procedure with the previous one and prove its convergence.\n
action
ARLID cav_un_auth*0334433
name International Conference on Belief Functions 2016 /4./
dates 21.09.2016-23.09.2016
place Prague
country CZ
RIV IN
reportyear 2017
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0263959
confidential S
mrcbC86 3+4 Proceedings Paper Computer Science Artificial Intelligence
mrcbT16-s 0.325
mrcbT16-4 Q2
mrcbT16-E Q2
arlyear 2016
mrcbU14 84988651944 SCOPUS
mrcbU34 000389706900017 WOS
mrcbU63 cav_un_epca*0464523 Belief Functions: Theory and Applications 978-3-642-29460-0 0302-9743 164-173 164 173 Switzerland Springer 2016 Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science 9861
mrcbU67 Vejnarová Jiřina 340
mrcbU67 Kratochvíl Václav 340