Automatic multilabel classification using machine learning

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United States of America Patent

PATENT NO 11379758
APP PUB NO 20210174242A1
SERIAL NO

16706037

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Abstract

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A computer-implemented method for automatic multilabel classification includes receiving a label matrix Y for multiple training instances. The label matrix Y includes multiple labels, each label representing a respective category. The method further includes computing an intermediate matrix YYT, where YT is a transpose of the label matrix Y. The method further includes computing a basis matrix H by a non-negative matrix factorization of the intermediate matrix YYT. The method further includes generating a group testing matrix A by sampling the basis matrix H. The method further includes generating, for each training instance from the training instances, a reduced label vector z by computing a product of the group testing matrix A and a label vector y for respective training instance from the label matrix Y. The method further includes predicting multiple labels associated with an input based on the reduced label vector z.

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Patent Owner(s)

  • IBM CORPORATION; THE GENERAL HOSPITAL CORPORATION AND UNIVERSITY OF MASSACHUSETTS

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Dash, Sanjeeb Croton on Hudson, US 5 10
Gunluk, Oktay New York, US 5 41
Horesh, Lior North Salem, US 109 254
Mazumdar, Arya Emeryville, US 1 0
Ubaru, Shashanka Ossining, US 17 1

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