Iterative active feature extraction
US9390377B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 5, 2013 |
| Grant date | Jul 12, 2016 |
| Priority date | — |
| Expiry date | Jun 15, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/043
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for iterative feature extraction using domain knowledge are provided. In one aspect, a method for feature extraction is provided. The method includes the following steps. At least one query to predict at least one future value of a given value series based on a statistical model is received. At least two predictions of the future value are produced fulfilling at least the properties of 1) each being as probable as possible given the statistical model and 2) being mutually divert (in terms of numerical distance measure). A user is queried to select one of the predictions. The user may be queried for textual annotations for the predictions. The annotations may be used to identify additional covariates to create an extended set of covariates. The extended set of covariates may be used to improve the accuracy of the statistical model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.