bibtype C - Conference Paper (international conference)
ARLID 0410436
utime 20240103182213.9
mtime 20060210235959.9
title (primary) (eng) On stochastic conditional independence: Problem of characterization and description
publisher
place Rome
name Baltzer Science Publ.
pub_time 2000
specification
page_count 4 s.
serial
title Partial Knowledge and Uncertainty: Independence, Conditioning, Inference
page_num 5-8
editor
name1 Scozzafava
name2 R.
editor
name1 Vantaggi
name2 B.
author (primary)
ARLID cav_un_auth*0101202
name1 Studený
name2 Milan
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 12A
cas_special
research AV0Z1075907
abstract (eng) This overview paper deals with two basic questions: the problem of characterization of conditional independence models and the problem of its computer representation. Classic graphical approaches to description of these structures are mentioned. A method which uses non-graphical tools called structural imsets is outlined.
action
ARLID cav_un_auth*0212700
name Workshop on Partial Knowledge and Uncertainty: Independence, Conditioning, Inference.
place Rome
country IT
dates 04.05.2000-06.05.2000
RIV BA
department MTR
permalink http://hdl.handle.net/11104/0130525
ID_orig UTIA-B 20000152
arlyear 2000
mrcbU10 2000
mrcbU10 Rome Baltzer Science Publ.
mrcbU63 Partial Knowledge and Uncertainty: Independence, Conditioning, Inference 5 8
mrcbU67 Scozzafava R. 340
mrcbU67 Vantaggi B. 340