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PDEnaiveBayes: Plausible Naive Bayes Classifier Using PDE
A nonparametric, multicore-capable plausible naive Bayes classifier based on the Pareto density estimation (PDE) featuring a plausible approach to a pitfall in the Bayesian theorem covering low evidence cases. Stier, Q., Hoffmann, J., and Thrun, M.C.: "Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes" (2025).
Getting started
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Package details |
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| Author | Michael Thrun [aut, cph, cre] (ORCID: <https://orcid.org/0000-0001-9542-5543>), Quirin Stier [aut, rev] (ORCID: <https://orcid.org/0000-0002-7896-4737>), Tim Robin Neldner [ctr, ctb] |
| Maintainer | Michael Thrun <m.thrun@gmx.net> |
| License | GPL-3 |
| Version | 0.2.8 |
| Package repository | View on CRAN |
| Installation |
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