Theoretical and empirical analysis of reliefF and rreliefF.
Relief algorithms are general and successful attribute estimators. They are able to detect conditional dependencies between attributes and provide a unified view on the attribute estimation in regression and classification. In addition, their quality estimates have a natural interpretation. While th...
| Опубликовано в:: | Machine learning. 53, 1-2 (2003). |
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| Главный автор: | |
| Формат: | Статья |
| Язык: | English |
| Предметы: |