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. 03, 2023

Filed:

Jun. 04, 2021
Applicant:

Pdf Solutions, Inc., Santa Clara, CA (US);

Inventors:

Tomonori Honda, Santa Clara, CA (US);

Lin Lee Cheong, San Jose, CA (US);

Lakshmikar Kuravi, Campbell, CA (US);

Bogdan Cirlig, Saratoga, CA (US);

Assignee:

PDF Solutions, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/33 (2020.01); G06N 20/00 (2019.01); G06Q 30/0201 (2023.01);
U.S. Cl.
CPC ...
G06F 30/33 (2020.01); G06N 20/00 (2019.01); G06Q 30/0201 (2013.01);
Abstract

A robust predictive model. A plurality of different predictive models for a target feature are run, and a comparative analysis provided for each predictive model that meet minimum performance criteria for the target feature. One of the predictive models is selected, either manually or automatically, based on predefined criteria. For semi-automatic selection, a static or dynamic survey is generated for obtaining user preferences for parameters associated with the target feature. The survey results will be used to generate a model that illustrates parameter trade-offs, which will be used to finalize the optimal predictive model for the user.


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