Feature set embedding for incomplete data
US8706668B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2011 |
| Grant date | Apr 22, 2014 |
| Priority date | — |
| Expiry date | Apr 26, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for classifying incomplete data are disclosed. In accordance with one method, pairs of features and values are generated based upon feature measurements on the incomplete data. In addition, a transformation function is applied on the pairs of features and values to generate a set of vectors by mapping each of the pairs to a corresponding vector in an embedding space. Further, a hardware processor applies a prediction function to the set of vectors to generate at least one confidence assessment for at least one class that indicates whether the incomplete data is of the at least one class. The method further includes outputting the at least one confidence assessment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.