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:
Aug. 31, 2021

Filed:

Aug. 08, 2019
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Mark Louis Watson, Sedona, AZ (US);

Austin Grant Walters, Savoy, IL (US);

Jeremy Edward Goodsitt, Champaign, IL (US);

Anh Truong, Champaign, IL (US);

Noriaki Tatsumi, Silver Spring, MD (US);

Vincent Pham, Champaign, IL (US);

Fardin Abdi Taghi Abad, Champaign, IL (US);

Kate Key, Effingham, IL (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 17/18 (2013.01); G06N 3/084 (2013.01);
Abstract

Various embodiments are generally directed to techniques to reduce inputs of a machine learning model (MLM) and increase path efficiency as a result. A method for reducing an MLM includes: receiving a machine learning (ML) dataset, partitioning the ML dataset into a first dataset, a second dataset, a third dataset, and a fourth dataset, training, validating, and testing the MLM using one or more of the first dataset, the second dataset, and the third dataset, after testing the MLM, automatically ranking an importance associated with each input of the MLM using the fourth dataset, and reducing a plurality of inputs of the MLM based on the automatic ranking.


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