bibtype	C - Conference Paper (international conference)
ARLID	0410859
utime	20240103182244.3
mtime	20060210235959.9
ISBN	2-9516453-3-3
title (primary) (eng)	Detection of independence relations from persegrams
part_num	3
publisher	place Annecy name ESIA pub_time 2002
specification	page_count 7 s.
serial	title Proceedings of the 9th Information Processing and Management of Uncertainty in Knowledge-based Systems page_num 1261-1267
keyword	multidimensional model
keyword	probability distribution
keyword	composition
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	12A
cas_special	project project_id GA201/02/1269 agency GA ČR ARLID cav_un_auth*0005739 project project_id PL973121-IC15CT98-0315 agency Copernicus country XE project project_id KONTAKT 1999-24 agency AKTION country AT research CEZ:AV0Z1075907 abstract (eng) The paper describes an approach to represent multidimensional distributions by "generating sequences". Their subclass of so called "perfect sequences", are equivalent to the class of distributions represented by Bayesian networks. The famous d-separation criterion enables the user to read all the conditional independence relations among the variables of a Bayesian network. This paper shows how to get the same information for distributions represented by perfect sequences. action ARLID cav_un_auth*0212914 name IPMU '2002 /9./ place Annecy country FR dates 01.07.2002-05.07.2002 RIV BA department MTR permalink http://hdl.handle.net/11104/0130946 ID_orig UTIA-B 20020073 arlyear 2002 mrcbU10 2002 mrcbU10 Annecy ESIA mrcbU12 2-9516453-3-3 mrcbU63 Proceedings of the 9th Information Processing and Management of Uncertainty in Knowledge-based Systems 1261 1267