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Erschienen in:
2015 | OriginalPaper | Buchkapitel
On the Accuracy of Copula-Based Bayesian Classifiers: An Experimental Comparison with Neural Networks
verfasst von : Lukáš Slechan, Jan Górecki
Erschienen in: Computational Collective Intelligence
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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.