Supervised and semi-supervised online boosting algorithm in machine learning framework
US9053391B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 12, 2011 |
| Grant date | Jun 9, 2015 |
| Priority date | — |
| Expiry date | Feb 11, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/217
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for classification of samples comprising providing a trained statistical model based upon a set of initial samples. Receiving a set of first samples and training a first statistical model base upon the first set of samples, where the first statistical model is of the same class as the trained statistical model. Receiving a set of second samples and training a second statistical model base upon the second set of samples, where the second statistical model is of the same class as the trained statistical model. The trained statistical model, the first statistical model, and the second statistical model, being independent of each other and collectively used to classify another sample.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.