Invention Grant
- Patent Title: Failure feedback system for enhancing machine learning accuracy by synthetic data generation
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Application No.: US16537921Application Date: 2019-08-12
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Publication No.: US10692019B2Publication Date: 2020-06-23
- Inventor: Jeremy Goodsitt , Anh Truong , Reza Farivar , Fardin Abdi Taghi Abad , Mark Watson , Vincent Pham , Austin Walters
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: CAPITAL ONE SERVICES, LLC
- Current Assignee: CAPITAL ONE SERVICES, LLC
- Current Assignee Address: US VA McLean
- Agency: Hunton Andrews Kurth LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06K9/62

Abstract:
An exemplary system, method, and computer-accessible medium can include, for example, (a) receiving a dataset(s), (b) determining if a misclassification(s) is generated during a training of a model(s) on the dataset(s), (c) generating a synthetic dataset(s) based on the misclassification(s), and (d) determining if the misclassification(s) is generated during the training of the model(s) on the synthetic dataset(s). The dataset(s) can include a plurality of data types. The misclassification(s) can be determined by determining if one of the data types is misclassified. The dataset(s) can include an identification of each of the data types in the dataset(s).
Public/Granted literature
- US20200111019A1 FAILURE FEEDBACK SYSTEM FOR ENHANCING MACHINE LEARNING ACCURACY BY SYNTHETIC DATA GENERATION Public/Granted day:2020-04-09
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