Bayesian Methods in Artificial Intelligence
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10069954" target="_blank" >RIV/00216208:11320/10:10069954 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bayesian Methods in Artificial Intelligence
Original language description
In many problems in the area of artificial intelligence, it is necessary to deal with uncertainty. Using probabilistic models can also improve efficiency of standard AI-based techniques. Commonly used methods for dealing with uncertainty include Bayesianmodels, which can be used to describe and work with probabilistic systems effectively. This article reviews several various models based on the Bayesian approach and typical algorithms used to work with them, along with some examples of their application.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GD201%2F09%2FH057" target="_blank" >GD201/09/H057: Res Informatica</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
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 19th Annual Conference of Doctoral Students - WDS 2010
ISBN
978-80-7378-139-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
MATFYZPRESS
Place of publication
Prague
Event location
Praha
Event date
Jun 1, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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