bibtype C - Conference Paper (international conference)
ARLID 0352234
utime 20240103194414.9
mtime 20110103235959.9
title (primary) (eng) Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data
specification
page_count 6 s.
serial
ARLID cav_un_epca*0352233
ISBN 978-80-903834-5-6
title Decision Making with Multiple Imperfect Decision Makers
page_num 1-6
publisher
place Prague
name Institute of Information Theory and Automation Academy of Sciences of the Czech Republic
year 2010
editor
name1 Guy
name2 Tatiana V.
editor
name1 Karny
name2 Miroslav
editor
name1 Wolpert
name2 David
keyword Bayesian decision making
keyword Supra-Bayesian approach
keyword sharing of probabilistic information
author (primary)
ARLID cav_un_auth*0263972
name1 Sečkárová
name2 Vladimíra
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2010/AS/seckarova-supra-bayesian approach to merging of incomplete and incompatible data.pdf
cas_special
project
project_id GA102/08/0567
agency GA ČR
ARLID cav_un_auth*0239566
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
research CEZ:AV0Z10750506
abstract (eng) In practice we often need to take every available information into account. Unfortunately the pieces of information given by different sources are often incomplete (with respect to what we are interested in) and have different forms. In this work we try to solve the problem of treating such data in order to get an optimal merger of them. We present a systematic and unified way how to combine the pieces of information by using a Supra-Bayesian approach and other mathematical tools, e.g. Kerridge inaccuracy, maximum entropy principle. To show how the proposed method works a simple example is given at the end of the work.
action
ARLID cav_un_auth*0266426
name 24th Annual Conference on Neural Information Processing Systems
place Whistler, B.C. Canada
dates 06.12.2010-11.12.2010
country CA
reportyear 2011
RIV BC
permalink http://hdl.handle.net/11104/0191792
arlyear 2010
mrcbU63 cav_un_epca*0352233 Decision Making with Multiple Imperfect Decision Makers 978-80-903834-5-6 1 6 Prague Institute of Information Theory and Automation Academy of Sciences of the Czech Republic 2010
mrcbU67 Guy Tatiana V. 340
mrcbU67 Karny Miroslav 340
mrcbU67 Wolpert David 340