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:
Sep. 17, 2019

Filed:

Nov. 07, 2017
Applicant:

Ayasdi, Inc., Menlo Park, CA (US);

Inventors:

Gurjeet Singh, Palo Alto, CA (US);

Noah Horton, Boulder, CO (US);

Bryce Eakin, Astoria, NY (US);

Assignee:

Ayasdi AI LLC, Los Altos, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06K 9/62 (2006.01); G06F 16/901 (2019.01); G06F 16/9038 (2019.01); G06F 17/15 (2006.01); G06N 7/00 (2006.01); G06Q 10/06 (2012.01); G06F 16/25 (2019.01);
U.S. Cl.
CPC ...
G06K 9/623 (2013.01); G06F 16/254 (2019.01); G06F 16/9024 (2019.01); G06F 16/9038 (2019.01); G06F 17/153 (2013.01); G06N 7/00 (2013.01); G06Q 10/06375 (2013.01);
Abstract

An example method includes receiving analysis data and output indicator, mapping data points from a transposition of the analysis data to a reference space, generating a cover of the reference space, clustering the data points mapped to the reference space using the cover and a metric function to determine each node of a plurality of nodes, for each node, identifying data points that are members to identify similar features, grouping features as being similar to each other based on node(s), for each feature, determining correlation with at least some data associated with the output indicator and generate a correlation score, displaying at least groupings of similar features and displaying the correlation scores, receiving a selection of features, generating a set of models based on selection, determining fit of each generated model to output data and generate a model score, and generating a model recommendation report.


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