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:
May. 20, 2025

Filed:

Dec. 28, 2020
Applicant:

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

Inventors:

Pavithra Harsha, White Plains, NY (US);

Brian Leo Quanz, Yorktown Heights, NY (US);

Shivaram Subramanian, Frisco, TX (US);

Wei Sun, Tarrytown, NY (US);

Max Biggs, Charlottesville, VA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/21 (2023.01); G06F 18/2132 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/21322 (2023.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/21326 (2023.01);
Abstract

A machine learning system that incorporates arbitrary constraints into deep learning model is provided. The machine learning system provides a set of penalty data points en a set of arbitrary constraints in addition to a set of original training data points. The machine learning system assigns a penalty to each penalty data point in the set of penalty data points. The machine learning system optimizes a machine learning model by solving an objective function based on an original loss function and a penalty loss function. The original loss function is evaluated over a set of original training data points and the penalty loss function is evaluated over the set of penalty data points. The machine learning system provides the optimized machine learning model based on a solution of the objective function.


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