Method of training neural network classification model using selected data
US11562167B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2020 |
| Grant date | Jan 24, 2023 |
| Priority date | — |
| Expiry date | Jun 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a non-transitory computer readable medium storing a computer program. When the computer program is executed by one or more processors of a computing device, the computer program performs the following operations for processing data, and the operations may include: determining an uncertainty level with respect to labeling criteria for each of one or more data included in a dataset; determining a similarity level for one or more data included in a data subset; and selecting at least some of data included in the dataset based on the uncertainty level and the similarity level, and additionally labeling the selected data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.