bibtype	C - Conference Paper (international conference)
ARLID	0353102
utime	20240103194511.0
mtime	20110104235959.9
title (primary) (eng)	Relationship between properties characterizing independence equivalence in Bayesian networks and compositional models
specification	page_count 6 s.
serial	ARLID cav_un_epca*0350715 title Proceedings of the 13th Czech-Japan Seminar on Data Analysis and Decision Making in Service Science page_num 49-54 publisher place Otaru name University Hall year 2010 editor name1 Itoh name2 Takeshi editor name1 Suzuki name2 Kenichi
keyword	compositional model
keyword	bayesian network
keyword	equivalence problem
author (primary)	ARLID cav_un_auth*0216188 name1 Kratochvíl name2 Václav full_dept (cz) Matematická teorie rozhodování full_dept (eng) Department of Decision Making Theory department (cz) MTR department (eng) MTR institution UTIA-B full_dept Department of Decision Making Theory fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2010/MTR/kratochvil-relationship between properties characterizing independence equivalence in bayesian networks and compositional models.pdf
cas_special	project project_id 1M0572 agency GA MŠk ARLID cav_un_auth*0001814 project project_id ICC/08/E010 Eurocores LogICCC agency GA ČR country XE ARLID cav_un_auth*0255499 project project_id 2C06019 agency GA MŠk country CZ ARLID cav_un_auth*0216518 project project_id GA201/09/1891 agency GA ČR ARLID cav_un_auth*0253175 research CEZ:AV0Z10750506 abstract (eng) We present a simple characterizations of equivalent compositional model structures based on (A) invariant properties and (B) local transformations. It has been shown that one can transform any compositional model into Bayesian network representing the same joint probability distribution and vice versa. Moreover, every assertion of independence induced by a Bayesian network structure is also induced by the structure of the respective compositional model that is created from the Bayesian network and vice versa. That is why wa can simply compare characterization of equivalent compositional model structures together with the known characteristics of equivalent Bayesian network structures. We show which (A) invariant properties and (B)local transformations correspond each other. In opposite case we show what is its (invariant property, transformation) meaning in the other model structure. action ARLID cav_un_auth*0266375 name Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /13./ place Otaru dates 03.11.2010-05.11.2010 country JP reportyear 2011 RIV IN permalink http://hdl.handle.net/11104/0192441 arlyear 2010 mrcbU63 cav_un_epca*0350715 Proceedings of the 13th Czech-Japan Seminar on Data Analysis and Decision Making in Service Science 49 54 Otaru University Hall 2010 mrcbU67 Itoh Takeshi 340 mrcbU67 Suzuki Kenichi 340