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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F11%3A00368294%21RIV12-AV0-67985556
rdf:type
skos:Concept n20:Vysledek
dcterms:description
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. 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.
dcterms:title
Automated Preferences Elicitation Automated Preferences Elicitation
skos:prefLabel
Automated Preferences Elicitation Automated Preferences Elicitation
skos:notation
RIV/67985556:_____/11:00368294!RIV12-AV0-67985556
n20:predkladatel
n21:ico%3A67985556
n3:aktivita
n16:P n16:Z
n3:aktivity
P(1M0572), P(GA102/08/0567), Z(AV0Z10750506)
n3:dodaniDat
n7:2012
n3:domaciTvurceVysledku
n9:4780280 n9:6585256
n3:druhVysledku
n10:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
187547
n3:idVysledku
RIV/67985556:_____/11:00368294
n3:jazykVysledku
n12:eng
n3:klicovaSlova
elicitation; decision making; Bayesian decision making; fully probabilistic design
n3:klicoveSlovo
n4:fully%20probabilistic%20design n4:decision%20making n4:elicitation n4:Bayesian%20decision%20making
n3:kontrolniKodProRIV
[901DAAF85AA8]
n3:mistoKonaniAkce
Sierra Nevada
n3:mistoVydani
Prague
n3:nazevZdroje
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)
n3:obor
n22:BB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n13:1M0572 n13:GA102%2F08%2F0567
n3:rokUplatneniVysledku
n7:2011
n3:tvurceVysledku
Guy, Tatiana Valentine Kárný, Miroslav
n3:typAkce
n11:WRD
n3:zahajeniAkce
2011-12-16+01:00
n3:zamer
n14:AV0Z10750506
s:numberOfPages
6
n17:hasPublisher
Ústav teorie informace a automatizace AV ČR
n15:isbn
978-80-903834-6-3