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:
Feb. 06, 2024

Filed:

Dec. 06, 2019
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Sedat Gokalp, Kirkland, WA (US);

Tarun Gupta, Seattle, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/18 (2006.01); G06V 10/75 (2022.01); G06N 20/00 (2019.01); G06F 18/2113 (2023.01); G06F 18/214 (2023.01); G06F 18/2411 (2023.01);
U.S. Cl.
CPC ...
G06V 10/758 (2022.01); G06F 17/18 (2013.01); G06F 18/2113 (2023.01); G06F 18/2155 (2023.01); G06F 18/2411 (2023.01); G06N 20/00 (2019.01);
Abstract

Learning iterations, individual ones of which include a respective bucket group selection phase and a class boundary refinement phase, are performed using a source data set whose records are divided into buckets. In the bucket group selection phase of an iteration, a bucket is selected for annotation based on output obtained from a classification model trained in the class boundary refinement phase of an earlier iteration. In the class boundary refinement phase, records of buckets annotated as positive-match buckets for a target class in the bucket group selection phase are selected for inclusion in a training set for a new version of the model using a model enhancement criterion. The trained version of the model is stored.


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