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A study on output normalization in multiclass SVMs

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10.1016/j.patrec.2012.11.003
 
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hdl:2117/19156

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González Abril, Luis
Velasco Morente, Francisco
Angulo Bahón, CecilioMés informacióMés informacióMés informació
Ortega Ramírez, Juan Antonio
Document typeArticle
Defense date2013-02-01
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper. Margins associated to the bi-classifiers, since they depend on the geometrical disposition of the classes being separated, are, in general, of various magnitudes. In order to overcome this scaling problem, a normalization process should be applied on the SVMs’ outputs. Thus, a new normalization approach is presented based on the convex hulls that contain the classes to be separated. Furthermore, a theoretical study is developed which justifies the proposed approach, and an interpretation is provided. An empirical study is also carried out to compare this normalization with others found in the literature.
CitationGonzález, L. [et al.]. A study on output normalization in multiclass SVMs. "Pattern recognition letters", 01 Febrer 2013, vol. 34, núm. 3, p. 344-348. 
URIhttp://hdl.handle.net/2117/19156
DOI10.1016/j.patrec.2012.11.003
ISSN0167-8655
Publisher versionhttp://www.sciencedirect.com/science/article/pii/S0167865512003637
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  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Articles de revista [1.187]
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