Feature selection for large scale models
US8190537B1 · kind B1 · utility
19Cited by
1References
20Claims
0Family size
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Key dates
| Filing date | Oct 31, 2008 |
| Grant date | May 29, 2012 |
| Priority date | — |
| Expiry date | Nov 11, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are a method and system for receiving a plurality of potential features to be added to a model having existing features. For each of the potential features, an approximate model is learned by holding values of the existing features in the model constant. The approximate model includes the model having existing features and at least the potential feature. A performance metric is computed for evaluating performance of the approximate model. The performance metric is used to rank the potential feature based on a predetermined criterion.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.