A first approximation in order to define a Difficulty Factor of the bi-classification in a dataset by using SVMs

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RECERCAT Home > Universitat Politècnica de Catalunya > Documents de recerca > View document

To access the full text documents, please follow this link: http://hdl.handle.net/2117/22746

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.contributor.author	González Abril, Luis
dc.contributor.author	Angulo Bahón, Cecilio
dc.date	2013
dc.identifier.citation	Gonzalez-Abril, L.; Angulo, C. A first approximation in order to define a Difficulty Factor of the bi-classification in a dataset by using SVMs. A: Jornadas de ARCA. "Actas de las XV Jornadas de ARCA : Sistemas cualitativos y sus aplicaciones en diagnosis, robótica e inteligencia ambiental". Murcia: 2013, p. 45-48.
dc.identifier.citation	978-84-616-7622-4
dc.identifier.citation	SE 546-2014
dc.identifier.uri	http://hdl.handle.net/2117/22746
dc.language.iso	eng
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria electrònica::Microelectrònica::Sistemes digitals programables
dc.subject	Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject	Support vector machines
dc.subject	Machine learning--Mathematical models
dc.subject	Aprenentatge automàtic -- Models matemàtics
dc.subject	Sistemes experts (Informàtica) -- Autoaprenentatge
dc.subject	Lagrange, Funcions de
dc.title	A first approximation in order to define a Difficulty Factor of the bi-classification in a dataset by using SVMs
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	The main aim in this paper is to analyze the complexity of a Support Vector Machine -SVM- in the construction of a classifier for a bi-classification problem on a specific dataset. Hence, an index is defined in terms of both, the Lagrange multipliers and the number of support vectors. Experimentation for cheching the defined index is carried out with a well.known dataset, the Glass Identification Database.
dc.description.abstract	Peer Reviewed

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