Method and apparatus for adjusting the model threshold of a support vector machine for text classification and filtering
US7356187B2 · kind B2 · utility
35Cited by
12References
18Claims
0Family size
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Key dates
| Filing date | Apr 12, 2004 |
| Grant date | Apr 8, 2008 |
| Priority date | — |
| Expiry date | Nov 14, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2411
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An information need can be modeled by a binary classifier such as support vector machine (SVM). SVMs can exhibit very conservative precision oriented behavior when modeling information needs. This conservative behavior can be overcome by adjusting the position of the hyperplane, the geometric representation of a SVM. The present invention describes a couple of automatic techniques for adjusting the position of an SVM model based upon a beta-gamma thresholding procedure, cross fold validation and retrofitting. This adjustment technique can also be applied to other types of learning strategies.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.