Quantitative Assessment of Data Volume Requirements for Reliable Machine Learning Analysis

Applying machine learning (ML) techniques in the context of limited data remains a challenge of practical importance. Questions on both the sufficiency of a given dataset for ML data analysis and data acquisition planning arise. Both aspects are quantitatively addressed in this work. The first one i...

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Bibliographic Details
Main Authors: Xukuan Xu, Jinghou Bi, Michael Moeckel, Hajo Wiemer, Steffen Ihlenfeldt
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11029268/
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