bibtype C - Conference Paper (international conference)
ARLID 0040935
utime 20240103182718.2
mtime 20060907235959.9
title (primary) (eng) Theoretical foundations for marginalization in compositional models
specification
page_count 8 s.
serial
ARLID cav_un_epca*0076750
title Proceedings of Czech-Japan Seminar on Data Analysis and Decision-Making under Uncertainty
page_num 224-231
publisher
place Kitakyushu
name Wasada University
year 2006
editor
name1 Watada
name2 J.
title (cze) Teoretické základy pro marginalizaci v kompozičních modelech
keyword compositional model
keyword multidimensional distribution
keyword Bayesian network
author (primary)
ARLID cav_un_auth*0101118
name1 Jiroušek
name2 Radim
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0095925
name1 Bína
name2 V.
country CZ
COSATI 12A
cas_special
project
project_id IAA2075302
agency GA AV ČR
ARLID cav_un_auth*0001801
research CEZ:AV0Z10750506
abstract (eng) Efficient computational algorithms are what made graphical Markov models so popular and successful. Similar algorithms can also be developed for computation with compositional models, which form an alternative to graphical Markov models. In this paper we present a theoretical basis as well as a scheme of an algorithm enabling computation of marginals for multidimensional distributions represented in the form of compositional models.
abstract (cze) Grafické Markovské modely jsou populární především proto, že pro ně byli navrženy efektivní výpočetní algoritmy. Podobné algoritmy mohou být použity i pro kompozicionální modely, které jsou alternativou Bayesovským sítím. Článek přináší nezbytný teoretický základ a stručný nástin algoritmu pro výpočet marginálních distribucí pro mnohodimensionální distribuce reprezentované ve formě kompozicionálního modelu.
action
ARLID cav_un_auth*0216465
name Czech-Japan Seminar on Data Analysis and Decision-Making under Uncertainty /9./
place Kitakyushu
dates 18.08.2006-22.08.2006
country JP
reportyear 2007
RIV BA
permalink http://hdl.handle.net/11104/0134543
arlyear 2006
mrcbU63 cav_un_epca*0076750 Proceedings of Czech-Japan Seminar on Data Analysis and Decision-Making under Uncertainty 224 231 Kitakyushu Wasada University 2006
mrcbU67 Watada J. 340