Detection of independence relations from persegrams.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F02%3A16020073" target="_blank" >RIV/67985556:_____/02:16020073 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/02:00000038
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detection of independence relations from persegrams.
Original language description
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-separationcriterion 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F02%2F1269" target="_blank" >GA201/02/1269: Multidimensional structured models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 9th Information Processing and Management of Uncertainty in Knowledge-based Systems.
ISBN
2-9516453-3-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1261-1267
Publisher name
ESIA
Place of publication
Annecy
Event location
Annecy [FR]
Event date
Jul 1, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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