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:
Mar. 17, 2026

Filed:

Dec. 02, 2022
Applicant:

Strong Force Vcn Portfolio 2019, Llc, Fort Lauderdale, FL (US);

Inventors:

Charles H. Cella, Pembroke, MA (US);

Andrew Cardno, San Diego, CA (US);

Benjamin D. Goodman, Los Angeles, CA (US);

Hristo Malchev, Alta Loma, CA (US);

Assignee:

STRONG FORCE VCN PORTFOLIO 2019, LLC, Fort Lauderdale, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/04 (2006.01); G05B 23/02 (2006.01); G06Q 10/04 (2023.01); G06Q 10/067 (2023.01); G06Q 10/087 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0202 (2023.01);
U.S. Cl.
CPC ...
G05B 13/048 (2013.01); G05B 23/0283 (2013.01); G06Q 10/04 (2013.01); G06Q 10/067 (2013.01); G06Q 10/087 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0202 (2013.01);
Abstract

A method for prioritizing predictive model data streams includes receiving, by a first device, a plurality of predictive model data streams. Each predictive model data stream includes a set of model parameters for a corresponding predictive model. Each predictive model is trained to predict future data values of a data source. The method includes prioritizing, by the first device, priorities to each of the plurality of predictive model data streams. The method includes selecting at least one of the predictive model data streams based on a corresponding priority. The method includes parameterizing, by the first device, a predictive model using the set of model parameters included in the selected predictive model data stream. The method includes predicting, by the first device, future data values of the data source using the parameterized predictive model.


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