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.

Date of Patent:
Jul. 04, 2023

Filed:

Sep. 27, 2022
Applicant:

Visa International Service Association, San Francisco, CA (US);

Inventors:

Liang Gou, San Jose, CA (US);

Junpeng Wang, Sunnyvale, CA (US);

Wei Zhang, Fremont, CA (US);

Hao Yang, San Jose, CA (US);

Assignee:

Visa International Service Association, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/045 (2023.01); G06F 16/904 (2019.01); G06F 17/18 (2006.01); G06F 17/16 (2006.01); G06F 18/24 (2023.01); G06N 3/047 (2023.01);
U.S. Cl.
CPC ...
G06N 3/045 (2023.01); G06F 16/904 (2019.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06F 18/24 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01);
Abstract

A method for local approximation of a predictive model may include receiving unclassified data associated with a plurality of unclassified data items. The unclassified data may be classified based on a first predictive model to generate classified data. A first data item may be selected from the classified data. A plurality of generated data items associated with the first data item may be generated using a generative model. The plurality of generated data items may be classified based on the first predictive model to generate classified generated data. A second predictive model may be trained with the classified generated data. A system and computer program product are also disclosed.


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