Systems and methods for dynamically augmenting machine learning models based on contextual factors associated with execution environments
US11429823B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2018 |
| Grant date | Aug 30, 2022 |
| Priority date | — |
| Expiry date | Jul 1, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed computer-implemented method for dynamically augmenting machine learning models based on contextual factors associated with execution environments may include (1) generating a base machine learning model and a supplemental set of machine learning models, (2) determining at least one contextual factor associated with an execution environment of a machine learning system that is configured to make predictions regarding a set of input data using at least the base machine learning model, (3) selecting, based on the contextual factor, a continuation set of machine learning models from the supplemental set of machine learning models, and (4) directing the machine learning system to utilize both the base machine learning model and the continuation set of machine learning models when making predictions regarding the set of input data. Various other methods, systems, and computer-readable media are also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.