System and method for automated construction of data sets for retraining a machine learning model
US12400433B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 26, 2022 |
| Grant date | Aug 26, 2025 |
| Priority date | — |
| Expiry date | Jan 4, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/776
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method and system for optimally retraining a supervised machine learning model based on newly received data. The method comprises receiving, from a requestor device, a new data set for updating a previously-trained model generated using a first training data set and tested using a first testing data set. Then, the new data set is checked for components having an association to both the first training data set and the first testing data set; and where such components are found, they are deleted. Once all of the components of the new data have been examined, remaining components of the new data set are assigned to one of the first training or testing data set in dependence upon a relationship connectivity therewith to form at least one of an updated testing and training data set for building the updated model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.