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. 14, 2023

Filed:

Jul. 26, 2019
Applicant:

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

Inventors:

Yada Zhu, Irvington, NY (US);

Yang Zhang, Cambridge, MA (US);

Pin-Yu Chen, White Plains, NY (US);

Kumar Bhaskaran, Englewood Cliffs, NJ (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 20/00 (2019.01); G06F 17/16 (2006.01); G06K 9/62 (2022.01); G06N 3/082 (2023.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06F 17/16 (2013.01); G06K 9/6215 (2013.01); G06K 9/6218 (2013.01); G06N 20/00 (2019.01);
Abstract

Methods and systems for explainable machine learning are described. In an example, a processor can receive a data set from a plurality of data sources corresponding to a plurality of domains. The processor can train a machine learning model to learn a plurality of vectors that indicate impact of the plurality of domains on a plurality of assets. The machine learning model can be operable to generate forecasts relating to performance metrics of the plurality of assets based on the plurality of vectors. In some examples, the machine learning model can be a neural attention network with shared hidden layers.


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