Scaling machine learning using approximate counting that uses feature hashing
US7743003B1 · kind B1 · utility
59Cited by
3References
29Claims
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Key dates
| Filing date | May 16, 2007 |
| Grant date | Jun 22, 2010 |
| Priority date | — |
| Expiry date | Jan 18, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system may track statistics for a number of features using an approximate counting technique by: subjecting each feature to multiple, different hash functions to generate multiple, different hash values, where each of the hash values may identify a particular location in a memory, and storing statistics for each feature at the particular locations identified by the hash values. The system may generate rules for a model based on the tracked statistics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.