Learning method, learning apparatus, and non-transitory computer-readable storage medium for storing learning program
US11507842B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 17, 2020 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | Jun 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A learning method implemented by a computer, includes: creating an input data tensor including a local dimension and a universal dimension by partitioning series data into local units, the series data including a plurality of elements, each of the plurality of elements in the series data being logically arranged in a predetermined order; and performing machine learning by using tensor transformation in which a transformation data tensor obtained by transforming the input data tensor with a transformation matrix is outputted using a neural network, wherein the learning includes rearranging the transformation matrix so as to maximize a similarity to a matching pattern serving as a reference in the tensor transformation regarding the universal dimension of the input data tensor, and updating the matching pattern in a process of the machine learning regarding the local dimension of the input data tensor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.