Similarity-based hierarchical data loading for machine learning training
US11354595B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 1, 2020 |
| Grant date | Jun 7, 2022 |
| Priority date | — |
| Expiry date | Feb 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/0649
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Original data for machine learning training can be received. The original data can be divided into baseline data and difference data. The baseline data and the difference data can be stored in different memory devices of the memory hierarchy associated with a computer, wherein the baseline data is stored in a first memory device having faster access speed than a second memory device in which the difference data is stored. The baseline data and the difference data can be loaded from the different memory devices. The original data can be reconstructed from the baseline data and the difference data. The reconstructed original data can be fed to a machine learning model to train the machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.