Regularization relaxation scheme
US11663520B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2019 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | Mar 12, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training machine learning systems. One of the methods includes receiving a plurality of training examples; and training a machine learning system on each of the plurality of training examples to determine trained values for weights of a machine learning model, wherein training the machine learning system comprises: assigning an initial value for a regularization penalty for a particular weight for a particular feature; and adjusting the initial value for the regularization penalty for the particular weight for the particular feature during the training of the machine learning system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.