Techniques for generating machine learning training data
US10339470B1 · kind B1 · utility
70Cited by
9References
20Claims
0Family size
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Key dates
| Filing date | Dec 11, 2015 |
| Grant date | Jul 2, 2019 |
| Priority date | — |
| Expiry date | Aug 20, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/087
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are provided herein for utilizing a classification engine to improve a classification model. For example, a classification engine may derive a statistical model based at least in part on a synthetic data set. A misclassification may be determined based at least in part on an output of the statistical model. An audit question may be provided to an individual, the audit question being determined based at least in part on the determined misclassification. Response data related to the audit question may be received. The statistical model may be validated based at least in part on the response data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.