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:
Dec. 20, 2022

Filed:

Feb. 19, 2019
Applicant:

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

Inventor:

Takayuki Osogami, Yamato, JP;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06F 17/16 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 17/16 (2013.01); G06N 20/00 (2019.01);
Abstract

Systems and methods for modelling time-series data includes testing a testing model with a plurality of hyper-forgetting rates to select a best performing hyper-forgetting rate. A model optimization is tested using the best performing hyper-forgetting rate with the testing model to test combinations of hyper-parameters to select a best performing combination of hyper-parameters. An error of the model is determined using the model optimization. Model parameters are recursively updated according to the least squares regression by determining a pseudo-inverse of a Hessian of the least squares regression at a current time stamp according to a projection of the time-series data at the current time stamp and the pseudo-inverse of the Hessian at a previous time-stamp to determine an optimum model parameter. A next step behavior of the time-series data is predicted using the optimum model parameter. The next step behavior is stored in a database for access by a user.


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