Robust personalization through biased regularization
US7886266B2 · kind B2 · utility
3Cited by
12References
19Claims
0Family size
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Key dates
| Filing date | Apr 6, 2006 |
| Grant date | Feb 8, 2011 |
| Priority date | — |
| Expiry date | Dec 9, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/07
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The subject disclosure pertains to systems and methods for personalization of a recognizer. In general, recognizers can be used to classify input data. During personalization, a recognizer is provided with samples specific to a user, entity or format to improve performance for the specific user, entity or format. Biased regularization can be utilized during personalization to maintain recognizer performance for non-user specific input. In one aspect, regularization can be biased to the original parameters of the recognizer, such that the recognizer is not modified excessively during personalization.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.