Targeted variation of machine learning input data

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United States of America Patent

PATENT NO 11537876
APP PUB NO 20200167643A1
SERIAL NO

16202417

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. Input data for a machine learning system may be analyzed to determine one or more potential biases in the input data. Based on the one or more potential biases, the input data may be grouped, and/or weights may be applied to one or more portions of the input data. The input data may be input into a machine learning algorithm, which may generate output data. Based on an evaluation of the output data, the input data may be grouped, and/or second weights may be applied to one or more portions of the input data.

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Patent Owner(s)

  • BANK OF AMERICA CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bivens, Vaughn M Charlotte, US 1 4
Bonda, Ganesh Charlotte, US 11 11
Cauthorne, Stephen C Richmond, US 1 4
Kurian, Manu Dallas, US 194 542

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