Iterative training of a machine learning model
US11443242B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 21, 2020 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | Mar 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0895
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, computer program product, and computer system are provided. The method comprises training a machine-learning model using an initial set of training data samples, receiving a new training data sample, and predicting a label for the new training data sample. The method also comprises, upon determining that a prediction quality value for the predicted label of the new training data sample is below a predefined quality value, adding the new training data sample to the initial set, thereby building an extended training data set. The method also comprises retraining the machine-learning model using the extended training data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.