Feature extraction and selection using statistical dependence criteria

Dimensionality reduction using feature extraction and selection approaches is a common stage of many regression and classification tasks. In recent years there have been significant e orts to reduce the dimension of the feature space without lossing information that is relevant for prediction. This...

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Detalles Bibliográficos
Autores principales: Tomassi, Diego, Marx, Nicolás, Beauseroy, Pierre
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2016
Materias:
Ciencias Informáticas
dimension reduction
variable selection
dependence measures
supervised learning
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/56980
http://45jaiio.sadio.org.ar/sites/default/files/ASAI-13_0.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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