Continuous inference for sequence data
US7551784B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 1, 2006 |
| Grant date | Jun 23, 2009 |
| Priority date | — |
| Expiry date | Jun 22, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B30/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Dynamic inference is leveraged to provide online sequence data labeling. This provides real-time alternatives to current methods of inference for sequence data. Instances estimate an amount of uncertainty in a prediction of labels of sequence data and then dynamically predict a label when an uncertainty in the prediction is deemed acceptable. The techniques utilized to determine when the label can be generated are tunable and can be personalized for a given user and/or a system. Employed decoding techniques can be dynamically adjusted to tradeoff system resources for accuracy. This allows for fine tuning of a system based on available system resources. Instances also allow for online inference because the inference does not require knowledge of a complete set of sequence data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.