bibtype C - Conference Paper (international conference)
ARLID 0410745
utime 20240103182236.2
mtime 20060210235959.9
ISBN 1-55860-800-1
title (primary) (eng) On characterizing inclusion of Bayesian networks
publisher
place San Francisco
name Morgan Kaufmann
pub_time 2001
specification
page_count 8 s.
serial
title Uncertainty in Artificial Intelligence. Proceeding of the 17th Conference
page_num 261-268
editor
name1 Breese
name2 J.
editor
name1 Koller
name2 D.
keyword iclusion problem
keyword dependence complex
keyword Meek's conjecture
author (primary)
ARLID cav_un_auth*0212625
name1 Kočka
name2 T.
country CZ
author
ARLID cav_un_auth*0212862
name1 Bouckaert
name2 R. R.
country NZ
author
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
project
project_id GA201/01/1482
agency GA ČR
ARLID cav_un_auth*0005723
project
project_id KSK1019101
agency GA AV ČR
ARLID cav_un_auth*0000219
research AV0Z1075907
abstract (eng) The inclusion problem deals with how to characterize in graphical terms whether all independence statements in the model induced by an acyclic directed graph K are in the model induced by a second acyclic directed graph L. Several graphical characterization of inclusion are given.
action
ARLID cav_un_auth*0212863
name Uncertainty in Artificial Intelligence /17./
place Seattle
country US
dates 02.08.2001-05.08.2001
RIV BA
department MTR
permalink http://hdl.handle.net/11104/0130833
ID_orig UTIA-B 20010214
arlyear 2001
mrcbU10 2001
mrcbU10 San Francisco Morgan Kaufmann
mrcbU12 1-55860-800-1
mrcbU63 Uncertainty in Artificial Intelligence. Proceeding of the 17th Conference 261 268
mrcbU67 Breese J. 340
mrcbU67 Koller D. 340