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...
| Publicado en: | Machine learning. 53, 1-2 (2003). |
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| Autor principal: | |
| Formato: | Artículo |
| Lenguaje: | English |
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