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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12670231 B1

PDFFull Text
Date of Patent:
Jun. 30, 2026

Filed:

Nov. 16, 2022

Machine learning for non-imaging data using task-dependent feature dependencies

Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Hongzhi Wang, Santa Bruno, CA (US);

Andrea Giovannini, Zurich, CH;

Kristen Beck, San Jose, CA (US);

Tanveer Syeda-Mahmood, Cupertino, CA (US);

Assignee:

International Business Machines Corporation, Armonk, NY (US);

Attorney:

CHIP LAW GROUP

Primary Examiner:

Quoc A Tran

Int. Cl.
CPC ...
G06F 18/213 (2023.01); G06F 18/2431 (2023.01); G06F 18/25 (2023.01); G06N 3/096 (2023.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06F 18/213 (2023.01); G06F 18/2431 (2023.01); G06F 18/25 (2023.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06N 3/096 (2023.01); G06T 2207/20084 (2013.01); G16H 30/40 (2018.01);
Abstract

Machine learning using dependency priors includes determining task-dependent feature dependencies for a group of features extracted from non-imaging data received with the computer hardware. The non-imaging data can be reformatted based on the task-dependent feature dependencies. The reformatting can convert strongly dependent features among the group of features into one or more subgroups based on task-specific, feature dependency-based priors. Based on the reformatted data, a machine learning prediction can be generated by a machine learning model.

Find Patent Forward Citations

Wang, Hongzhi. (2026). Machine learning for non-imaging data using task-dependent feature dependencies (U.S. Patent No. 12670231). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12670231

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