Using variable length representations for machine learning statistics
US10062035B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 12, 2013 |
| Grant date | Aug 28, 2018 |
| Priority date | — |
| Expiry date | Dec 15, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides methods and systems for using variable length representations of machine learning statistics. A method may include storing an n-bit representation of a first statistic at a first n-bit storage cell. A first update to the first statistic may be received, and it may be determined that the first update causes a first loss of precision of the first statistic as stored in the first n-bit storage cell. Accordingly, an m-bit representation of the first statistic may be stored at a first m-bit storage cell based on the determination. The first m-bit storage cell may be associated with the first n-bit storage cell. As a result, upon receiving an instruction to use the first statistic in a calculation, a combination of the n-bit representation and the m-bit representation may be used to perform the calculation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.