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:
May. 19, 2020

Filed:

Nov. 29, 2018
Applicant:

Sparkcognition, Inc., Austin, TX (US);

Inventors:

Tyler S. McDonnell, Austin, TX (US);

Sari Andoni, Austin, TX (US);

Junhwan Choi, Austin, TX (US);

Jimmie Goode, Austin, TX (US);

Yiyun Lan, Austin, TX (US);

Keith D. Moore, Cedar Park, TX (US);

Gavin Sellers, Austin, TX (US);

Assignee:

SPARKCOGNITION, INC., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06N 3/086 (2013.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01);
Abstract

A method includes receiving, by a processor, an input data set. The input data set includes a plurality of features. The method includes determining, by the processor, one or more characteristics of the input data set. The method includes, based on the one or more characteristics, adjusting, by the processor, one or more architectural parameters of an automated model generation process. The automated model generation process is configured to generate a plurality of models using a weighted randomization process. The one or more architectural parameters weight the weighted randomization process to adjust a probability of generation of models having particular architectural features. The method further includes executing, by the processor, the automated model generation process to output a mode, the model including data representative of a neural network.


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