Towards analogy-based explanations in machine learning

DOI10.1007/978-3-030-57524-3_17zbMath1478.68272arXiv2005.12800OpenAlexW3082478769MaRDI QIDQ1997251

Eyke Hüllermeier

Publication date: 1 March 2021

Full work available at URL: https://arxiv.org/abs/2005.12800

zbMATH Keywords

classificationrankingsimilarityinterpretabilitymachine learninganalogyexplainability

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) General topics in artificial intelligence (68T01)

Related Items (3)

Multiple analogical proportions ⋮ Galois theory for analogical classifiers ⋮ Using analogical proportions for explanations

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