Computer-implemented semi-supervised learning systems and methods
US8346691B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 6, 2007 |
| Grant date | Jan 1, 2013 |
| Priority date | — |
| Expiry date | Dec 9, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer-implemented systems and methods for determining a subset of unknown targets to investigate. For example, a method can be configured to receive a target data set, wherein the target data set includes known targets and unknown targets. A supervised model such as a neural network model is generated using the known targets. The unknown targets are used with the neural network model to generate values for the unknown targets. Analysis with an unsupervised model is performed using the target data set in order to determine which of the unknown targets are outliers. A comparison of list of outlier unknown targets is performed with the values for the unknown targets that were generated by the neural network model. The subset of unknown targets to investigate is determined based upon the comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.