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:
Feb. 21, 2023

Filed:

Jun. 29, 2020
Applicant:

Bigml, Inc., Corvallis, OR (US);

Inventor:

Charles Parker, Corvallis, OR (US);

Assignee:

Other;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06N 5/00 (2006.01); G06F 16/22 (2019.01); G06N 7/00 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/22 (2019.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06N 5/003 (2013.01); G06N 7/005 (2013.01); G06N 20/10 (2019.01);
Abstract

Systems and methods of selecting machine learning models/algorithms for a candidate dataset are disclosed. A computer system may access historical data of a set of algorithms applied to a set of benchmark datasets; select a first algorithm of the set of algorithms; apply the first algorithm to an input dataset to create a model of the input dataset; evaluate and store results of the applying; and add the first algorithm to a set of tried algorithms. The computer system may select a next algorithm of the algorithm set via submodular optimization based on the historical data and the set of tried algorithms; apply the next algorithm to the input dataset; capture a next result based on the applying; add the next result to update the set of tried algorithms; and repeat the submodular optimization. The procedure may continue until a termination condition is reached.


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