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:
Oct. 19, 2021

Filed:

May. 21, 2018
Applicant:

Fair Isaac Corporation, Roseville, MN (US);

Inventors:

Scott Michael Zoldi, San Diego, CA (US);

Shafi Rahman, San Diego, CA (US);

Assignee:

FAIR ISAAC CORPORATION, Roseville, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01); G06N 3/082 (2013.01); G06N 20/00 (2019.01);
Abstract

Systems and methods that use a neural network architecture for extracting interpretable relationships among predictive input variables. This leads to neural network models that are interpretable and explainable. More importantly, these systems and methods lead to discovering new interpretable variables that are functions of predictive input variables, which in turn can be extracted as new features and utilized in other types of interpretable models, like scorecards (fraud score, etc.), but with higher predictive power than conventional systems and methods.


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Quick Actions:

Zoldi, Scott. (2021). System and method for generating explainable latent features of machine learning models (U.S. Patent No. 11151450). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11151450

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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