Learning device, inference device, learning method, and inference method using a transformation matrix generated from learning data
US11868885B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2020 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | Nov 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to an embodiment, a learning device includes a memory and one or more processors coupled to the memory. The one or more processors are configured to: generate a transformation matrix from learning data in which feature quantities and target values are held in a corresponding manner; and learn about parameters of a neural network which includes nodes equal in number to the number of rows of the transformation matrix, a first output layer representing first estimation distribution according to the values of the nodes, and a second output layer representing second estimation distribution decided according to the product of the transformation matrix and the first estimation distribution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.