Transfer learning across automated machine learning systems
US12026613B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 2, 2020 |
| Grant date | Jul 2, 2024 |
| Priority date | — |
| Expiry date | Dec 13, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques regarding transferring learning outcomes across machine learning tasks in automated machine learning systems are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a transfer learning component that can executes a machine learning task using an existing artificial intelligence model on a sample dataset based on a similarity between the sample dataset and a historical dataset. The existing artificial intelligence model can be generated by automated machine learning and trained on the historical dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.