Enhancing biological knowledge discovery using multiples support vector machines
US6760715B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 7, 2000 |
| Grant date | Jul 6, 2004 |
| Priority date | — |
| Expiry date | Mar 17, 2022 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B25/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Multiple support vector machines are used to extract useful information from vast quantities of biological data. The method includes pre-processing of training data and test data to add dimensionality or to identify missing or erroneous data points. The training data is used to train the learning machine after which the success of the training is tested using the test data. The test output is pre-processed to determine whether the knowledge discovered from the pre-processed test data set is desirable and to identify which of the multiple support vector machines provides the optimal solution. After the training has been confirmed, live biological data can be pre-processed then input into the identified support vector machine that provides the optimal solution for extraction of useful information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.