System, method and apparatus for training a machine learning model
US11887356B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 3, 2020 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Jul 9, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed systems, structures, and methods are directed to receiving a training data set comprising a plurality of original training samples, augmenting the original training samples by applying default transformations, training the machine learning model on at least a portion of the original training samples and at least a portion of the first set of augmented training samples, computing an unaugmented accuracy, augmenting the original training samples and the first set of augmented training samples by applying a candidate transformation, training the machine learning model on at least a portion of the original training samples, at least a portion of the first set of augmented training samples, and at least a portion of the second set of augmented training samples, computing an augmented accuracy, computing an affinity metric from the unaugmented accuracy and the augmented accuracy, and updating the candidate augmentation transformations list and the default augmentation transformations list.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.