Context driven model selection
US11373056B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 22, 2019 |
| Grant date | Jun 28, 2022 |
| Priority date | — |
| Expiry date | Jan 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/285
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Mechanism are provided to select a machine learning model from an analytics model library based on ingested data. One or more pieces of clarified data are fused to provide time-correlated data tuples of data streams. One or more features are extracted from the time-correlated data tuples and scored based on a set of predetermined rules thereby generating discriminative scoring of trigger data. Utilizing the discriminative scoring of the trigger data, trigger data of a current analytics model being utilized by the data processing and one or more new analytics models from the analytics model library are scored. Responsive to the scoring of the trigger data indicating a selection of a different analytics model from the analytics model library, the current analytics model is replaced with a selected analytics model from the analytics model library such that the data processing system executes the selected analytics model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.