Data amount compressing method, apparatus, program, and IC chip
US11100072B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 26, 2018 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | Aug 28, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03M7/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A data amount compressing method for compressing a data amount corresponding to a learned model obtained by letting the learning model learn a predetermined data group, the learning model having a tree structure in which multiple nodes associated with respective hierarchically divided state spaces are hierarchically arranged, wherein each node in the learned model is associated with an error amount that is generated in the process of the learning and corresponds to prediction accuracy, and the data amount compressing method includes: a reading step of reading the error amount associated with each node; and a node deleting step of deleting a part of the nodes of the learned model according to the error amount read in the reading step, thereby compressing the data amount corresponding to the learned model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.