Markov model discriminator using negative examples
US6112021A · kind A · utility
15Cited by
2References
20Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | Dec 19, 1997 |
| Grant date | Aug 29, 2000 |
| Priority date | — |
| Expiry date | Dec 19, 2017 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/144
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Negative examples are used along with positive examples to modify a Markov Model resulting in lower error rates in classification tasks as compared with conventionally trained Markov models. The subject system is used for identifying particular traits or characteristics of sequences to permit identification of, for instance, inappropriate web page material, hand signing gestures, audio program material type, authorship of a text, with the system also being useful in speech recognition, as well as seismic, medical, and industrial monitoring.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.