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Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review

In this work we introduce a framework, based on three-way decision (TWD) and the trisecting-acting-outcome model, to handle uncertainty in Machine Learning (ML). We distinguish between handling uncertainty affecting the input of ML models, when TWD is used to identify and properly take into account...

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Detalhes bibliográficos
Publicado no:Rough Sets
Main Authors: Campagner, Andrea, Cabitza, Federico, Ciucci, Davide
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7338178/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-52705-1_10
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