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:
Dec. 03, 2019

Filed:

Jul. 30, 2018
Applicant:

Allegro Artificial Intelligence Ltd, Tel Aviv, IL;

Inventor:

Moshe Guttmann, Tel Aviv, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 5/02 (2006.01); G06F 7/14 (2006.01); G06F 21/62 (2013.01); H04L 29/06 (2006.01); G06N 20/00 (2019.01); G06F 16/23 (2019.01); G06F 16/2455 (2019.01); G06N 3/08 (2006.01); G06N 7/00 (2006.01); G06Q 10/06 (2012.01); G06F 9/50 (2006.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06F 16/28 (2019.01); H04N 5/232 (2006.01);
U.S. Cl.
CPC ...
G06F 7/14 (2013.01); G06F 9/505 (2013.01); G06F 16/2379 (2019.01); G06F 16/24565 (2019.01); G06F 21/6218 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 5/046 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06Q 10/06311 (2013.01); H04L 63/102 (2013.01); G06F 16/285 (2019.01); H04L 63/0823 (2013.01); H04N 5/23206 (2013.01);
Abstract

Systems and methods for incremental annotation of datasets are provided. For example, a group of labeled examples and a group of unlabeled examples may be obtained, a first inference model may be generated using the group of labeled examples, labels may be assigned to at least part of the group of unlabeled examples using the first inference model, confidence levels may be assigned to the assigned labels, a subset of the group of unlabeled examples may be selected using the confidence levels, and in some cases a second inference model may be generated using the selected subset and/or the corresponding assigned labels.


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