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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

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

Book/collection name

Computational Collective Intelligence

ISBN

978-3-319-24069-5

Number of pages of the result

9

Pages from-to

485-493

Number of pages of the book

515

Publisher name

Springer International Publishing

Place of publication

Springer International Publishing Switzerland

UT code for WoS chapter

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