Five reasons against assuming a data-generating distribution in Machine Learning

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Five reasons against assuming a data-generating distribution in Machine Learning

Author: Höltgen, Benedikt; Williamson, Robert C.
Tübinger Autor(en):
Williamson, Robert C.
Issue year: 2024-07-24
Verlagsangabe: arXiv
Language: English
Full text: https://arxiv.org/html/2407.17395v1
DDC Classifikation: 004 - Data processing and computer science
Dokumentart: Preprint
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