Multistage learner for efficiently boosting large datasets
US9418343B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2013 |
| Grant date | Aug 16, 2016 |
| Priority date | — |
| Expiry date | Oct 10, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Implementations of the disclosed subject matter provide methods and systems for using a multistage learner for efficiently boosting large datasets in a machine learning system. A method may include obtaining a first plurality of examples for a machine learning system and selecting a first point in time. Next, a second point in time occurring subsequent to the first point in time may be selected. The machine learning system may be trained using m of the first plurality of examples. Each of the m examples may include a feature initially occurring after the second point in time. In addition, the machine learning system may be trained using n of the first plurality of examples, and each of the n examples may include a feature initially occurring after the first point in time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.