Interactive semi-supervised machine learning for classification
US8311960B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2009 |
| Grant date | Nov 13, 2012 |
| Priority date | — |
| Expiry date | Sep 14, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The invention is a system and method for teaching and using a computer to apply a genetic algorithm in order to generate rules for classifying data objects, such as documents. By permitting periodic human intervention during and/or after the initial training stage, the invention improves upon existing methods that merely automate data classification. Using an initial “training set” of data objects, the system develops a set of rules to apply on future data objects. To improve efficacy over time, rules may be periodically amended by a user during the initial training stage or after rules have been generated. In this fashion, classification rules may evolve, thereby improving the accuracy and speed of the classification process. Classification rules are also presented in a human-readable format, thereby improving the transparency of the classification process and facilitating the interaction between the system and the administrator.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.