TRAINING DATA SYNTHESIS FOR MACHINE LEARNING

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United States of America Patent

APP PUB NO 20240355100A1
SERIAL NO

18692076

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Abstract

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A method can include generating a plurality of synthetic objects and associated labels using a trained first machine learning system that is trained to generate a synthetic object based at least in part on a feature of a labeled object, an assigned label that represents the feature, and stochastic variation input; training a second machine learning model to predict labels for features of objects based at least in part on the plurality of synthetic objects and associated labels; and predicting a label for an unlabeled feature of an object using the second machine learning model.

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Patent Owner(s)

Patent OwnerAddress
SCHLUMBERGER TECHNOLOGY CORPORATION300 SCHLUMBERGER DRIVE SUGAR LAND TX 77478

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Katole, Atul Laxman Houston, US 11 14
Mangsuli, Purnaprajna Raghavendra Pune, IN 11 45
Maniar, Hiren Houston, US 14 23

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