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. 28, 2023

Filed:

May. 21, 2020
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Phillip Henry Rogers, Half Moon Bay, CA (US);

Andrew E. Fano, Lincolnshire, IL (US);

Joshua Neland, San Francisco, CA (US);

Allan Enemark, Campbell, CA (US);

Tripti Saxena, Sunnyvale, CA (US);

Jana A. Thompson, San Francisco, CA (US);

David William Vinson, San Francisco, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/36 (2019.01); G06F 18/214 (2023.01); G06F 16/904 (2019.01);
U.S. Cl.
CPC ...
G06F 18/2155 (2023.01); G06F 16/367 (2019.01); G06F 16/904 (2019.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01);
Abstract

Implementations are directed to receiving a set of training data including a plurality of data points, at least a portion of which are to be labeled for subsequent supervised training of a computer-executable machine learning (ML) model, providing at least one visualization based on the set of training data, the at least one visualization including a graphical representation of at least a portion of the set of training data, receiving user input associated with the at least one visualization, the user input indicating an action associated with a label assigned to a respective data point in the set of training data, executing a transformation on data points of the set of training data based on one or more heuristics representing the user input to provide labeled training data in a set of labeled training data, and transmitting the set of labeled training data for training the ML model.


Find Patent Forward Citations

Loading…