Transductive Lasso for high-dimensional data regression problems
US9367818B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 18, 2013 |
| Grant date | Jun 14, 2016 |
| Priority date | — |
| Expiry date | Jun 21, 2034 |
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. A first centered Gram matrix of a given dimension is determined for each of a set of feature vectors that include at least one of the set of training samples and at least one of the set of test samples. A second centered Gram matrix of the given dimension is determined for a target value vector that includes target values from the set of training samples. A set of columns and rows associated with the at least one of the test samples in the second centered Gram matrix is set to 0. A subset of features is selected from a set of features based on the first and second centered Gram matrices.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.