Transductive feature selection with maximum-relevancy and minimum-redundancy criteria
US9483739B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 18, 2013 |
| Grant date | Nov 1, 2016 |
| Priority date | — |
| Expiry date | Mar 7, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B40/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments select features from a feature space. In one embodiment, a set of training samples and a set of test samples are received. The set of training samples includes a set of features and a class value. The set of test samples includes the set of features absent the class value. A relevancy with respect to the class value is determined for each of a plurality of unselected features based on the set of training samples. A redundancy with respect to one or more of the set of features is determined for each of the plurality of unselected features in the first set of features based on the set of training samples and the set of test samples. A set of features is selected from the plurality of unselected features based on the relevancy and the redundancy determined for each of the plurality of unselected features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.