Boosting algorithm for ranking model adaptation
US8255412B2 · kind B2 · utility
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Key dates
| Filing date | Dec 17, 2008 |
| Grant date | Aug 28, 2012 |
| Priority date | — |
| Expiry date | Jan 28, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/24578
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Model adaptation may be performed to take a general model trained with a set of training data (possibly large), and adapt the model using a set of domain-specific training data (possibly small). The parameters, structure, or configuration of a model trained in one domain (called the background domain) may be adapted to a different domain (called the adaptation domain), for which there may be a limited amount of training data. The adaption may be performed using the Boosting Algorithm to select an optimal basis function that optimizes a measure of error of the model as it is being iteratively refined, i.e., adapted.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.