bibtype C - Conference Paper (international conference)
ARLID 0368294
utime 20240103195939.0
mtime 20111208235959.9
title (primary) (eng) Automated Preferences Elicitation
specification
page_count 6 s.
serial
ARLID cav_un_epca*0368293
ISBN 978-80-903834-6-3
title The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011)
page_num 20-25
publisher
place Prague
name Institute of Information Theory and Automation
year 2011
keyword elicitation
keyword decision making
keyword Bayesian decision making
keyword fully probabilistic design
author (primary)
ARLID cav_un_auth*0101124
name1 Kárný
name2 Miroslav
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.
author
ARLID cav_un_auth*0101092
name1 Guy
name2 Tatiana Valentine
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department 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/2011/AS/karny-automated preferences elicitation.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id GA102/08/0567
agency GA ČR
ARLID cav_un_auth*0239566
research CEZ:AV0Z10750506
abstract (eng) Systems supporting decision making became almost inevitable in the modern complex world. Their efficiency depends on the sophisticated interfaces enabling a user take advantage of the support while respecting the increasing on-line information and incomplete, dynamically changing user’s preferences. The best decision making support is useless without the proper preference elicitation. The paper proposes a methodology supporting automatic learning of quantitative description of preferences. The proposed elicitation serves to fully probabilistic design, which is an extension of Bayesian decision making.
action
ARLID cav_un_auth*0276749
name The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011)
place Sierra Nevada
dates 16.12.2011-16.12.2011
country ES
reportyear 2012
RIV BB
num_of_auth 2
permalink http://hdl.handle.net/11104/0202679
arlyear 2011
mrcbU63 cav_un_epca*0368293 The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011) 978-80-903834-6-3 20 25 The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011) Prague Institute of Information Theory and Automation 2011