CLASSIFICATION AND MODEL RETRAINING DETECTION IN MACHINE LEARNING

A computer-implemented method for training a generative adversarial network to detect a data drift of a machine learning model is described. The method uses supervised learning to generate a plurality of data points based on training data of the machine learning model. The method uses supervised lea...

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Bibliographische Detailangaben

Hauptverfasser:	NAILI, Mohamed, PREMKUMAR, Karthikeyan
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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