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Cost-sensitive feature selection for support vector machines

 

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Opened Access Cost-sensitive feature selection for support vector machines
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Author: Benítez Peña, Sandra
Blanquero Bravo, Rafael
Carrizosa Priego, Emilio José
Ramírez Cobo, Josefa
Department: Universidad de Sevilla. Departamento de Estadística e Investigación Operativa
Date: 2018-03
Published in: Computers and Operations Research
Document type: Article
Abstract: Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant variables, making thus the classification procedures more interpretable and more effective by reducing noise and data overf...
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Size: 372.1Kb
Format: PDF

URI: https://hdl.handle.net/11441/72191

DOI: 10.1016/j.cor.2018.03.005

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