Automatic multilabel classification using machine learning
US11379758B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Dec 6, 2019 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Mar 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for automatic multilabel classification includes receiving a label matrix Y for multiple training instances. The label matrix Y includes multiple labels, each label representing a respective category. The method further includes computing an intermediate matrix YYT, where YT is a transpose of the label matrix Y. The method further includes computing a basis matrix H by a non-negative matrix factorization of the intermediate matrix YYT. The method further includes generating a group testing matrix A by sampling the basis matrix H. The method further includes generating, for each training instance from the training instances, a reduced label vector z by computing a product of the group testing matrix A and a label vector y for respective training instance from the label matrix Y. The method further includes predicting multiple labels associated with an input based on the reduced label vector z.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.