Knowledge representation by compositional models.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F02%3A16020070" target="_blank" >RIV/67985556:_____/02:16020070 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/02:00000039
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Knowledge representation by compositional models.
Original language description
This paper advocates a probabilistic method for uncertain knowledge representation and processing. In contrast to most other approaches, which are based on graphical Markov modelling (most popular are Bayesian networks, for which the dependence structureis represented by acyclic directed graphs), the described method is rather procedural. It describes a process by which a multidimensional distribution can be composed from pieces of 'local knowledge', i.e., from a system of low-dimensional distributions.
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 International Conference on Information and Knowledge Engineering.
ISBN
1-892512-97-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
117-123
Publisher name
CSREA Press
Place of publication
Las Vegas
Event location
Las Vegas [US]
Event date
Jun 24, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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