Method and apparatus for fast machine training
US6697769B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 21, 2000 |
| Grant date | Feb 24, 2004 |
| Priority date | — |
| Expiry date | Jan 21, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/183
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus are provided that reduce the training time associated with machine learning systems whose training time is proportional to the number of outputs being trained. Under embodiments of the invention, the number of outputs to be trained is reduced by dividing the objects to be modeled into classes. This produces at least two sets of model parameters. At least one set describes some aspect of the classes given some context, and at least one other set of parameters describes some aspect of the objects given a class and the context. Thus, instead of training a system with a large number of outputs, corresponding to all of the objects, the present invention trains at least two models, each of which has a much smaller number of outputs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.