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:
Mar. 01, 2022

Filed:

Mar. 22, 2018
Applicant:

Here Global B.v., Eindhoven, NL;

Inventors:

Nicholas Dronen, Chicago, IL (US);

Stephen O'Hara, Chicago, IL (US);

Vladimir Shestak, Chicago, IL (US);

Assignee:

HERE Global B.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06N 5/04 (2006.01); G06N 7/00 (2006.01); G06K 9/00 (2022.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G05D 1/0088 (2013.01); G05D 1/0221 (2013.01); G06K 9/00791 (2013.01); G06K 9/00979 (2013.01); G06K 9/00993 (2013.01); G06K 9/6256 (2013.01); G06N 5/047 (2013.01); G06N 7/00 (2013.01);
Abstract

An approach is provided for selecting training observations for machine learning models. The approach involves determining a first distribution of a plurality of features observed in the training data set, and a second distribution of the plurality of features observed in the candidate pool of observations. The approach further involves selecting one or more observations in the candidate pool of observations for annotation based on the first distribution and the second distribution. The approach further involves adding the one or more observations to the training data set after annotation. The training data set is used for training the machine learning model.


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