Systems, techniques, and interfaces for obtaining and annotating training instances
US11030492B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 16, 2019 |
| Grant date | Jun 8, 2021 |
| Priority date | — |
| Expiry date | Oct 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A previously trained classification model associated with the machine learning system is configured to process an input to generate i) a first prediction that represents a characteristic associated with the input, and ii) a representation of accuracy associated with the prediction. A retraining subsystem is configured to receive the input, the first prediction, and the representation of accuracy. The retraining subsystem processes the input to generate a prediction representing a characteristic. A sufficiency of certainty of the first prediction is determined based on at least the input, the first prediction, the measure of accuracy, and the second prediction. Based at least on the determined sufficiency the retraining subsystem causes the machine learning system to be automatically retrained, be retrained using the input with active learning or not retrained.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.