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. 17, 2023

Filed:

Jul. 17, 2020
Applicant:

Blackberry Limited, Waterloo, CA;

Inventors:

Edward Snow Willis, Ottawa, CA;

Steven John Henkel, Waterloo, CA;

Assignee:

BlackBerry Limited, Waterloo, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); G06F 1/03 (2006.01); G06N 3/084 (2023.01); G06F 18/24 (2023.01); G06N 3/048 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 18/2178 (2023.01); G06F 1/03 (2013.01); G06F 18/24 (2023.01); G06N 3/048 (2023.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01);
Abstract

A computer-implemented method comprises training, using a validation set of input, a first classifier to predict when a second classifier will issue a classification error on a particular input, the first classifier generating a number of data buckets based on the validation set of input and populating a threshold lookup table for each data bucket based on a number of thresholds set for the second classifier during the training; storing each threshold lookup table in memory; obtaining a target error rate; obtaining a new input and running the new input through the first classifier, the first classifier selecting one of the data buckets for the new input; and selecting a threshold for the second classifier using the stored threshold lookup table for the selected data bucket and the target error rate.


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