bibtype C - Conference Paper (international conference)
ARLID 0450905
utime 20240103211236.0
mtime 20151201235959.9
SCOPUS 84951804385
WOS 000371579600071
DOI 10.1007/978-3-319-26535-3
title (primary) (eng) Weighted Probabilistic Opinion Pooling Based on Cross-Entropy
specification
page_count 7 s.
media_type E
serial
ARLID cav_un_epca*0450904
ISBN 978-3-319-26534-6
ISSN 0302-9743
title Neural Information Processing
page_num 623-629
publisher
place Cham
name Springer International Publishing
year 2015
editor
name1 Sabri
name2 A.
keyword Minimum cross-entropy principle
keyword Kullback-Leibler divergence
keyword Linear opinion pooling
keyword Combining probability distributions
author (primary)
ARLID cav_un_auth*0263972
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
full_dept Department of Adaptive Systems
name1 Sečkárová
name2 Vladimíra
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2015/AS/seckarova-0450905.pdf
cas_special
project
ARLID cav_un_auth*0292725
project_id GA13-13502S
agency GA ČR
abstract (eng) In this work we focus on opinion pooling in the finite group of sources introduced in [Seckarova, 2015]. This approach, heavily exploiting Kullback-Leibler divergence (also known as cross-entropy), allows us to combine sources’ opinions given in probabilistic form, i.e. represented by the probability mass function (pmf). However, this approach assumes that sources are equally reliable with no preferences on, e.g., importance of a particular source. The discussion about the influence of the combination by preferences among sources (represented by weights) and numerical demonstration of the derived theory on an illustrative example form the core of this contribution.
action
ARLID cav_un_auth*0322736
name 22nd International Conference on Neural Information Processing (ICONIP2015)
dates 09.11.2015-12.11.2015
place Istanbul
country TR
RIV BC
reportyear 2016
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0252663
confidential S
mrcbT16-s 0.329
mrcbT16-4 Q2
mrcbT16-E Q2
arlyear 2015
mrcbU14 84951804385 SCOPUS
mrcbU34 000371579600071 WOS
mrcbU63 cav_un_epca*0450904 Neural Information Processing 978-3-319-26534-6 0302-9743 623 629 Cham Springer International Publishing 2015 Lecture Notes in Computer Science 9490
mrcbU67 Sabri A. 340
mrcbU67 Tingwen H. 340
mrcbU67 Weng K.L. 340
mrcbU67 Qingshan L. 340