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Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Simeone, Osvaldo, Romano, Yaniv
Format:	Preprint
Publié:	2025
Sujets:	Information Theory Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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