Machine learning model training
US11783175B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 12, 2019 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Nov 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for efficiently training a machine learning model are presented. More particularly, using information regarding the relevant neighborhoods of target nodes within a body of training data, the training data can be organized such that the initial state of the training data is relatively easy for a machine learning model to differentiate. Once trained on the initial training data, the training data is then updated such that differentiating between a matching and a non-matching node is more difficult. Indeed, by iteratively updating the difficulty of the training data and then training the machine learning model on the updated training data, the speed that the machine learning model reaches a desired level of accuracy is significantly improved, resulting in reduced time and effort in training the machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.