US 11,790,231 B2
Determining optimal augmentations for a training data set
Gandhi Sivakumar, Bentleigh (AU); Vijay Ekambaram, Chennai (IN); and Hemant Kumar Sivaswamy, Pune (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Sep. 14, 2022, as Appl. No. 17/944,387.
Application 17/944,387 is a continuation of application No. 16/818,891, filed on Mar. 13, 2020, granted, now 11,551,088.
Prior Publication US 2023/0004807 A1, Jan. 5, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 3/08 (2023.01); G06N 5/00 (2023.01); G06N 20/00 (2019.01); G06N 3/04 (2023.01); G06N 3/02 (2006.01); G06Q 10/0631 (2023.01)
CPC G06N 3/08 (2013.01) [G06N 3/02 (2013.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/0631 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
applying a predetermined augmentation to a sample set of training data to create an augmented sample set;
training a model with the augmented sample set;
determining a performance of the trained model;
assigning a weight to the predetermined augmentation based on the determined performance; and
determining whether to apply the predetermined augmentation to a larger training data set before the training data set is applied to the model, based on the weight assigned to the predetermined augmentation.