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Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs

By Christian Riefolo and others
Tackling the problem of learning probabilistic classifiers from incomplete data in the context of Knowledge Graphs expressed in Description Logics, we describe an inductive approach based on learning simple belief networks. Specifically, we consider a basic probabilistic model, a Naive Bayes classifier, based on multivariate Bernoullis and its extension to... Show more
July 9, 2024
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Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs
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