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. 19, 2021

Filed:

May. 28, 2019
Applicant:

Vmware, Inc., Palo Alto, CA (US);

Inventors:

Ritesh Jha, Bangalore, IN;

Priyank Agarwal, Bangalore, IN;

Vaidic Joshi, Bangalore, IN;

Suchit Dhakate, Bangalore, IN;

Jasmine Ejner, Bangalore, IN;

Assignee:

VMware, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 40/40 (2020.01); G06F 9/455 (2018.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 40/40 (2020.01); G06F 9/45541 (2013.01);
Abstract

The present disclosure provides an approach for training a machine learning model by first training the model on a generic dataset and then iteratively training the model on 'easy' domain specific training data before moving on to 'difficult' domain specific training data. Inputs of a domain-specific dataset are run on the generically-trained model to determine which inputs generate an accuracy score above a threshold. The inputs with an accuracy score above a threshold are used to retrain the model, along with the corresponding outputs. The retraining continues until all domain specific dataset has been used to train the model, or until no remaining inputs of the domain specific dataset generate an accuracy score, when run on the model, that is above a threshold.


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