bibtype C - Conference Paper (international conference)
ARLID 0410773
utime 20240103182238.1
mtime 20060210235959.9
title (primary) (eng) Detection of independence relations from persegrams
publisher
place Praha
name VŠE
pub_time 2001
specification
page_count 11 s.
serial
title Proceedings of the 4th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty
page_num 52-62
editor
name1 Jiroušek
name2 R.
editor
name1 Vejnarová
name2 J.
keyword multidimensional models
keyword probability theory
keyword conditional independence
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.
COSATI 12B
cas_special
project
project_id LN00B107
agency GA MŠk
ARLID cav_un_auth*0001461
project
project_id 1999-24
agency AKTION
country CZ
research AV0Z1075907
abstract (eng) Procedures for computation with multidimensional models (multidimensional probability distributions) are efficient only for models with specific independence structure. Therefore, it is of great importance to learn the independence structure. The paper presents a solution of this task for models represented by generating sequences.
action
ARLID cav_un_auth*0212877
name Czec-Japan Seminar on Data Analysis and Decision Making under Uncertainty /4./
place Jindřichův Hradec
country CZ
dates 14.09.2001-17.09.2001
RIV BB
department MTR
permalink http://hdl.handle.net/11104/0130861
ID_orig UTIA-B 20010242
arlyear 2001
mrcbU10 2001
mrcbU10 Praha VŠE
mrcbU63 Proceedings of the 4th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty 52 62
mrcbU67 Jiroušek R. 340
mrcbU67 Vejnarová J. 340