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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1593| General framework for class-specific feature selection | |
| BARBARA BERENICE PINEDA BAUTISTA Jesús Ariel Carrasco Ochoa José Francisco Martínez Trinidad | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Class-specific feature selection Feature selection Supervised classification Classifier ensemble | |
| Commonly, when a feature selection algorithm is applied, a single feature subset is selected for all the classes, but this subset could be inadequate for some classes. Class-specific feature selection allows selecting a possible different feature subset for each class. However, all the class-specific feature selection algorithms have been proposed for a particular classifier, which reduce their applicability. In this paper, a general framework for using any traditional feature selector for doing class-specific feature selection, which allows using any classifier, is proposed. Experimental results and a comparison against traditional feature selectors showing the suitability of the proposed framework are included. | |
| Elsevier Ltd. | |
| 2011 | |
| Artículo | |
| Inglés | |
| Estudiantes Investigadores Público en general | |
| Pineda-Bautista, B.B., et al., (2011). General framework for class-specific feature selection, Expert Systems with Applications, (38): 10018–10024 | |
| CIENCIA DE LOS ORDENADORES | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Artículos de Ciencias Computacionales |
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|---|---|---|---|
| 5 Pineda_2011_ExpertsSystems38.pdf | 1.05 MB | Adobe PDF | Visualizar/Abrir |