Semi-supervised learning with group constraints
US11880755B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 14, 2020 |
| Grant date | Jan 23, 2024 |
| Priority date | — |
| Expiry date | Aug 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for classification of data by a machine learning system using a logic constraint for reducing a data labeling requirement. The computer-implemented method includes: generating a first embedding space from a first partially labeled training data set, wherein in the first embedding space, content-wise related training data of the first partially labeled training data are clustered together, determining at least two clusters in the first embedding space formed from the first partially labeled training data, and training a machine learning model based, at least in part, on a second partially labeled training data set and the at least two clusters, wherein the at least two clusters are used as training constraints.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.