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:
Jul. 23, 2024

Filed:

Jul. 07, 2022
Applicant:

H2o.ai Inc., Mountain View, CA (US);

Inventors:

SriSatish Ambati, Palo Alto, CA (US);

Ashrith Barthur, San Francisco, CA (US);

Assignee:

H2O.ai Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06N 5/02 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01);
Abstract

An input dataset is sorted into a first version of data and a second version of data. The first version of data is associated with a first period of time and the second version of data is associated with a second period of time. The second period of time is a shorter period of time than the first period of time. A first set of one or more machine learning models is generated based on the first version of data. A second set of one or more machine learning models is generated based on the second version of data. The first set of one or more machine learning models and the second set of one or more machine learning models are combined to generate an ensemble model. A prediction based on the ensemble model is outputted. The prediction indicates abnormal behavior associated with the input dataset.


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