Multi-module and multi-task machine learning system based on an ensemble of datasets
US11960843B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 2, 2019 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Nov 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/205
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques and systems are provided for training a machine learning model using different datasets to perform one or more tasks. The machine learning model can include a first sub-module configured to perform a first task and a second sub-module configured to perform a second task. The first sub-module can be selected for training using a first training dataset based on a format of the first training dataset. The first sub-module can then be trained using the first training dataset to perform the first task. The second sub-module can be selected for training using a second training dataset based on a format of the second training dataset. The second sub-module can then be trained using the second training dataset to perform the second task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.