US 11,810,000 B2
Systems and methods for expanding data classification using synthetic data generation in machine learning models
Austin Walters, Savoy, IL (US); Jeremy Goodsitt, Champaign, IL (US); and Anh Truong, Champaign, IL (US)
Assigned to CAPITAL ONE SERVICES, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Nov. 30, 2022, as Appl. No. 18/060,286.
Application 18/060,286 is a continuation of application No. 16/946,426, filed on Jun. 22, 2020, granted, now 11,562,252.
Prior Publication US 2023/0091402 A1, Mar. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 3/088 (2023.01); G06N 3/045 (2023.01)
CPC G06N 3/088 (2013.01) [G06N 3/045 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A method for classifying data, the method comprising:
training a data classification model using training data that includes at least one class, the trained data classification model being configured to identify the at least one class;
receiving additional data including samples of at least one additional class, the at least one additional class not contained in the training data; and
retraining the trained data classification model using a synthetic classified dataset associated with the additional data, the retrained data classification model being configured to identify the at least one additional class.