Personalized automated machine learning
US11379710B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 28, 2020 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Mar 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In accordance with an embodiment of the invention, a method is provided for personalizing machine learning models for users of an automated machine learning system, the machine learning models being generated by an automated machine learning system. The method includes obtaining a first set of datasets for training first, second, and third neural networks, inputting the training datasets to the neural networks, tuning hyperparameters for the first, second, and third neural networks for testing and training the neural networks, inputting a second set of datasets to the trained neural networks and the third neural network generating a third output data including a relevance score for each of the users for each of the machine learning models, and displaying a list of machine learning models associated with each of the users, with each of the machine learning models showing the relevance score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.