A Comparison of Evidential Networks and Compositional Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00439574" target="_blank" >RIV/67985556:_____/14:00439574 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.14736/kyb-2014-2-0246" target="_blank" >http://dx.doi.org/10.14736/kyb-2014-2-0246</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14736/kyb-2014-2-0246" target="_blank" >10.14736/kyb-2014-2-0246</a>

Result language
angličtina
Original language name
A Comparison of Evidential Networks and Compositional Models
Original language description
Several counterparts of Bayesian networks based on different paradigms have been proposed in evidence theory. Nevertheless, none of them is completely satisfactory. In this paper we will present a new one, based on a recently introduced concept of conditional independence. We define a conditioning rule for variables, and the relationship between conditional independence and irrelevance is studied with the aim of constructing a Bayesian-network-like model. Then, through a simple example, we will show a problem appearing in this model caused by the use of a conditioning rule. We will also show that this problem can be avoided if undirected or compositional models are used instead.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Project
<a href="/en/project/GA13-20012S" target="_blank" >GA13-20012S: Conditional independence structures: algebraic and geometric methods</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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