Conditional Independence and Factorization of Multidimensional Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F08%3A00317953" target="_blank" >RIV/67985556:_____/08:00317953 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Conditional Independence and Factorization of Multidimensional Models
Original language description
In this paper, three different frameworks for uncertainty description are considered: probability and possibility theories, and Dempster-Shafer theory of belief functions. For all of them a special operator of composition is introduced. It enables, amongothers, defining the concept of factorization meeting all the semigraphoid axioms. It is showed that whilst for probability and possibility theories factorization and conditional independence coincide, they differ from each other for belief functions. Since the introduced factorization manifests more of the properties required for the concept of conditional independence, the question arises whether not to substitute the used concepts by that introduced in this paper, which is based on the operator of composition.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WCCI 2008 Proceedings
ISBN
978-1-4244-1818-3
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
—
Publisher name
IEEE
Place of publication
Hong Kong
Event location
Hong Kong
Event date
Jun 1, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—