MACHINE LEARNING TECHNIQUES USING MODEL DEFICIENCY DATA OBJECTS FOR TENSOR-BASED GRAPH PROCESSING MODELS

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United States of America Patent

APP PUB NO 20240013064A1
SERIAL NO

17811229

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Abstract

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Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for generating a model deficiency data object for a tensor-based graph processing machine learning model. Certain embodiments of the present invention utilize systems, methods, and computer program products that generate a model deficiency data object for a tensor-based graph processing machine learning model using holistic graph links generated by utilizing a graph representation machine learning model.

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OPTUM INC9900 BREN ROAD EAST MINNETONKA MN 55343

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Boss, Gregory J Saginaw, US 785 9508
Godden, Paul J London, GB 20 64
Nystrom, Erik A Durham, US 1 0

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