Systems and methods for formatting data using a recurrent neural network
US11727031B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 6, 2022 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Jun 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for formatting data are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving data comprising a plurality of sequences of data values and training a recurrent neural network model to output conditional probabilities of subsequent data values based on preceding data values in the data value sequences. The operations may include generating conditional probabilities using the trained recurrent neural network model and the received data. The operations may include determining a data format of a subset of the data value sequences, based on the generated conditional probabilities, and reformatting at least one of the data value sequences according to the determined data format.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.