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:
Oct. 05, 2021

Filed:

Oct. 21, 2019
Applicant:

Adtran, Inc., Huntsville, AL (US);

Inventors:

Jeremy Lyon, Huntsville, AL (US);

Armand Nokbak Nyembe, Huntsville, AL (US);

Ramya Raghavendra, Huntsville, AL (US);

Arlynn W. Wilson, Huntsville, AL (US);

Robert Barrett, Madison, AL (US);

Assignee:

ADTRAN, Inc., Huntsville, AL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/26 (2006.01); G06N 7/00 (2006.01); G06N 20/20 (2019.01); H04L 12/24 (2006.01);
U.S. Cl.
CPC ...
H04L 43/50 (2013.01); G06N 7/005 (2013.01); G06N 20/20 (2019.01); H04L 41/142 (2013.01);
Abstract

Systems and techniques are disclosed for using machine learning to dynamically detect physical impairments in lines of a subscriber network. In some implementations, per-tone data for a line of a subscriber network and data indicating a set of one or more scores is obtained. Each score included in the set of scores indicates a conditional likelihood that the line has a type of impairment with respect to a different feature subset ensemble. The per-tone data and the data indicating the set of one or more scores is provided as input to a model. The model is trained to output, for each of different sets of feature subset ensembles, a confidence score representing an overall likelihood that a particular line has a physical impairment. Data indicating a particular confidence score representing an overall likelihood that the line has the physical impairment is obtained. The particular confidence score is provided for output.


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