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Strongly agree or strongly disagree? Rating features in support vector machines

 

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Opened Access Strongly agree or strongly disagree? Rating features in support vector machines
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Author: Carrizosa Priego, Emilio José
Nogales Gómez, Amaya
Romero Morales, María Dolores
Department: Universidad de Sevilla. Departamento de Estadística e Investigación Operativa
Date: 2016-02
Published in: Information Sciences, 329 (C), 256-273.
Document type: Article
Abstract: In linear classifiers, such as the Support Vector Machine (SVM), a score is associated with each feature and objects are assigned to classes based on the linear combination of the scores and the values of the features. Inspired by discrete psychomet...
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Cite: Carrizosa Priego, E.J., Nogales Gómez, A. y Romero Morales, M.D. (2016). Strongly agree or strongly disagree? Rating features in support vector machines. Information Sciences, 329 (C), 256-273.
Size: 416.2Kb
Format: PDF

URI: http://hdl.handle.net/11441/42775

DOI: 10.1016/j.ins.2015.09.031

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