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:
Apr. 25, 2023

Filed:

Aug. 27, 2018
Applicant:

Canon Kabushiki Kaisha, Tokyo, JP;

Inventor:

Naoki Matsuki, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/20 (2019.01); G06N 20/00 (2019.01); G06F 16/28 (2019.01); G06F 16/35 (2019.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06F 16/11 (2019.01); G06F 16/21 (2019.01); G06F 16/2457 (2019.01); G06F 16/332 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/11 (2019.01); G06F 16/21 (2019.01); G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06F 16/3323 (2019.01); G06F 16/35 (2019.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01);
Abstract

An information processing apparatus includes an itemized reliability level calculation unit configured to calculate a first reliability level, wherein the first reliability level is a reliability level of classification target data, and a second reliability level, wherein the second reliability level is a reliability level of a label associated with the classification target data, a learning data reliability level calculation unit configured to calculate a learning data reliability level of learning data including the classification target data and the label based on the first reliability level and the second reliability level, and a classification model learning unit configured to formulate a classification model for giving a label to desired classification target data based on plural pieces of learning data and learning data reliability levels.


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