A Comparison of Evidential Networks and Compositional Models

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A Comparison of Evidential Networks and Compositional Models

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Comparison of Evidential Networks and Compositional Models

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BA - Obecná matematika

OECD FORD obor

—

Projekt

<a href="/cs/project/GA13-20012S" target="_blank" >GA13-20012S: Struktury podmíněné nezávislosti: algebraické a geometrické metody</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Kybernetika

ISSN

0023-5954

e-ISSN

—

Svazek periodika

50

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

22

Strana od-do

246-267

Kód UT WoS článku

000337929500006

EID výsledku v databázi Scopus

—