CONSISTENT FILTERING OF MACHINE LEARNING DATA

Consistency metadata, including a parameter for a pseudo-random number source, are determined for training-and-evaluation iterations of a machine learning model. Using the metadata, a first training set comprising records of at least a first chunk is identified from a plurality of chunks of a data s...

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Bibliographic Details
Main Authors Zheng, Tianming, Dirac, Leo Parker, Zhuo, Donghui, Li, Jin
Format Patent
LanguageEnglish
Published 27.04.2023
Subjects
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