Metadata-driven machine learning for systems
US10885463B2 · kind B2 · utility
3Cited by
11References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Oct 7, 2016 |
| Grant date | Jan 5, 2021 |
| Priority date | — |
| Expiry date | Jul 13, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Training prediction models and applying machine learning prediction to data is illustrated herein. A prediction instance comprising a set of data and metadata associated with the set of data identifying a prediction type is obtained. The data and metadata are used to determine an entity to train a prediction model using the prediction type. A trained prediction model is obtained from the entity. A notification system may be configured to react to monitor contextual information and apply the prediction. A workflow system may automatically perform a function in a workflow based on prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.