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:
Aug. 23, 2022

Filed:

Oct. 25, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Yoshinori Kabeya, Kanagawa, JP;

Emiko Takeuchi, Tokyo, JP;

Daisuke Takuma, Tokyo, JP;

Hirobumi Toyoshima, Tokyo, JP;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/01 (2006.01); H04L 9/40 (2022.01); G06N 5/02 (2006.01); G16H 10/60 (2018.01); G10L 15/00 (2013.01); G16H 50/50 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/013 (2013.01); G06N 5/02 (2013.01); G10L 15/00 (2013.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); H04L 63/1408 (2013.01); H04L 63/1425 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A method, a system, and a computer program product for predicting an outcome expected for a particular positional value is provided. In the method, an input set of data records, each having a label and a positional value, and a target positional value are obtained. The label of each data record is one in a label set. A learning model that includes an output layer, an input layer corresponding to the label set and a network structure provided therebetween is read. In the learning model, the network structure has a plurality of functions trained so as to evaluate influence from each label in the label set depending on a relationship between the target positional value and a representative positional value associated with the label in the label set. A target outcome is estimated for the target positional value from the input set using the learning model.


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