Randomized latent feature learning
US9864951B1 · kind B1 · utility
8Cited by
15References
25Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2015 |
| Grant date | Jan 9, 2018 |
| Priority date | — |
| Expiry date | Mar 25, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0282
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Features are disclosed for identifying randomized latent feature language modeling, such as a recurrent neural network language modeling (RNNLM). Sequences of item identifiers may be provided as the language for training the language model where the item identifiers are the words of the language. To avoid localization bias, the sequences may be randomized prior to or during the training process to provide more accurate prediction models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.