Minimum error rate training with a large number of features for machine learning
US8645119B2 · kind B2 · utility
7Cited by
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20Claims
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Key dates
| Filing date | Mar 26, 2008 |
| Grant date | Feb 4, 2014 |
| Priority date | — |
| Expiry date | Mar 27, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/49
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and apparatuses including computer program products for machine learning. A method is provided that includes determining model parameters for a plurality of feature functions for a linear machine learning model, ranking the plurality of feature functions according to a quality criterion, and selecting, using the ranking, a group of feature functions from the plurality of feature functions to update with the determined model parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.