Augmenting Naïve Bayes Classifiers with <i>k</i>-Tree Topology
The Bayesian network is a directed, acyclic graphical model that can offer a structured description for probabilistic dependencies among random variables. As powerful tools for classification tasks, Bayesian classifiers often require computing joint probability distributions, which can be computatio...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-07-01
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Series: | Mathematics |
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Online Access: | https://www.mdpi.com/2227-7390/13/13/2185 |
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