Generating data from imbalanced training data sets
US9224104B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 24, 2013 |
| Grant date | Dec 29, 2015 |
| Priority date | — |
| Expiry date | Jun 18, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Injecting generated data samples into a minority data class of an imbalanced training data set is provided. In response to receiving an input to balance the imbalanced training data set that includes a majority data class and the minority data class, a set of data samples is generated for the minority data class. A distance is calculated from each data sample in the set of generated data samples to a center of a kernel that includes a set of data samples of the majority data class. Each data sample in the set of generated data samples is stored within a corresponding distance score bucket based on the calculated distance of a data sample. Generated data samples are selected from a number of highest ranking distance score buckets. The generated data samples selected from the number of highest ranking distance score buckets are injected into the minority data class.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.