Systems and methods for identifying influential training data points

There is disclosed a method and system for identifying relevant training data points for a prediction by a machine learning algorithm (MLA). The method comprises determining indicators of influence for training data points used to train the MLA. A normalizing function is applied to the indicators of...

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Bibliographic Details
Main Authors Brunet, Marc-Etienne, Barshan, Elnaz
Format Patent
LanguageEnglish
Published 28.02.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:There is disclosed a method and system for identifying relevant training data points for a prediction by a machine learning algorithm (MLA). The method comprises determining indicators of influence for training data points used to train the MLA. A normalizing function is applied to the indicators of influence to determine normalized indicators of influence. Training data points having the highest and lowest normalized indicators of influence are output for display.
Bibliography:Application Number: US201916594774