Prediction filtering using intermediate model representations
US11080596B1 · kind B1 · utility
5Cited by
0References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jun 14, 2017 |
| Grant date | Aug 3, 2021 |
| Priority date | — |
| Expiry date | May 21, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2207/4824
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure is directed to filtering co-occurrence data. In one embodiment, a machine learning model can be trained. An output of an intermediate structure of the machine learning model (e.g., an output of an internal layer of a neural network) can be used as a representation of an event. Similarities between representations of events can be determined and used to generate, augment, or modify co-occurrence data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.