On the Accuracy of Copula-based Bayesian Classifiers: An Experimental Comparison with Neural Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F15%3A%230003738" target="_blank" >RIV/47813059:19520/15:#0003738 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-24069-5_46" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-24069-5_46</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-24069-5_46" target="_blank" >10.1007/978-3-319-24069-5_46</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On the Accuracy of Copula-based Bayesian Classifiers: An Experimental Comparison with Neural Networks

Popis výsledku v původním jazyce

In this work, we compare three classifiers in terms of accuracy. The first is a copula-based Bayesian classifier based on elliptical and Archimedean copulas. The remaining two are Naive Bayes and Neural Networks. Such a comparison, particularly for the recently proposed Archimedean copula-based Bayesian classifiers, hasn't been reported in the literature. The results show that copula-based Bayesian classifiers are a viable alternative to Neural Networks in terms of accuracy while keeping the models relatively simple.

Název v anglickém jazyce

On the Accuracy of Copula-based Bayesian Classifiers: An Experimental Comparison with Neural Networks

Popis výsledku anglicky

In this work, we compare three classifiers in terms of accuracy. The first is a copula-based Bayesian classifier based on elliptical and Archimedean copulas. The remaining two are Naive Bayes and Neural Networks. Such a comparison, particularly for the recently proposed Archimedean copula-based Bayesian classifiers, hasn't been reported in the literature. The results show that copula-based Bayesian classifiers are a viable alternative to Neural Networks in terms of accuracy while keeping the models relatively simple.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Computational Collective Intelligence

ISBN

978-3-319-24069-5

Počet stran výsledku

9

Strana od-do

485-493

Počet stran knihy

515

Název nakladatele

Springer International Publishing

Místo vydání

Springer International Publishing Switzerland

Kód UT WoS kapitoly

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