Efficient feature selection for predictive models using semantic classification and generative filtering
US11798018B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Mar 7, 2016 |
| Grant date | Oct 24, 2023 |
| Priority date | — |
| Expiry date | Oct 14, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods provide for feature selection that combines semantic classification and generative filtering with forward selection. Features from an original feature set are divided into feature subsets corresponding to ranked semantic classes. Additionally, low quality features are removed from consideration. Features are selected for a reduced feature set by iteratively processing the feature subsets using forward selection in an order corresponding to the ranking of the semantic classes. The reduced feature set is used to generate a predictive model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.