Machine learning system and method for ranking sets of data using a pairing cost function
US7689520B2 · kind B2 · utility
45Cited by
5References
12Claims
0Family size
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Key dates
| Filing date | Feb 25, 2005 |
| Grant date | Mar 30, 2010 |
| Priority date | — |
| Expiry date | Nov 20, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/951
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning system to rank data within sets is disclosed. The system comprises a ranking module that has differentiable parameters. The system further comprises a cost calculation module that uses a cost function that depends on pairs of examples and which describes an output of the ranking module. Methods of using the disclosed system are also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.