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:
Jan. 02, 2024

Filed:

Jun. 22, 2021
Applicant:

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

Inventors:

Georgios Kollias, White Plains, NY (US);

Aurelie Chloe Lozano, Scarsdale, NY (US);

Naoki Abe, Rye, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06F 16/901 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 11/079 (2013.01); G06F 16/9024 (2019.01); G06N 20/00 (2019.01);
Abstract

Techniques for causal modeling. Historical feature data is received, relating to a plurality of nodes in a system. A machine learning (ML) model is generated, for a node of the plurality of nodes. The ML model is trained to predict a plurality of future feature values for the node based on at least a portion of the historical feature data. A causal graph is generated, for the plurality of nodes, using a feature selection mechanism within the ML model. The feature selection mechanism includes a regularization term encouraging sparsity of nodes in selected features in the ML model.


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