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. 07, 2026

Filed:

Jul. 17, 2023
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Tania Cruz Morales, Washington, DC (US);

Purva Shanker, Arlington, VA (US);

Shannon Yogerst, New York, NY (US);

Haytham Yaghi, Oakton, VA (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 1/00 (2006.01); G06F 12/0802 (2016.01); G06N 20/00 (2019.01); G06F 16/00 (2019.01);
U.S. Cl.
CPC ...
G06F 12/0802 (2013.01); G06N 20/00 (2019.01); G06F 2212/60 (2013.01);
Abstract

Systems and methods for a predictive cache of machine learning models. In some aspects, the system, in response to a user request, trains one or more machine learning models using a training dataset and inserts the machine learning models into a user library. The system, without input from the user, based on a distribution of values for a first feature in the training dataset, generates a search request for labeled data having a distribution of values within a threshold of the distribution of values of the first feature. The system adds to the training dataset values from the labeled data to generate an updated training dataset. The system trains a proximate machine learning model based on the updated training dataset and inserts the proximate machine learning model into a predictive cache of machine learning models.


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