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A probabilistic tri-class Support Vector Machine
| dc.contributor.author | González Abril, Luis |
| dc.contributor.author | Angulo Bahón, Cecilio |
| dc.contributor.author | Velasco Morente, Francisco |
| dc.contributor.author | Ortega Ramírez, Juan Antonio |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
| dc.date.accessioned | 2010-09-15T11:42:23Z |
| dc.date.available | 2010-09-15T11:42:23Z |
| dc.date.created | 2010-07 |
| dc.date.issued | 2010-07 |
| dc.identifier.citation | González, L. [et al.]. A probabilistic tri-class Support Vector Machine. "Journal of pattern recognition research", Juliol 2010, vol. 5, núm. 1, p. 1-9. |
| dc.identifier.issn | 1558-884X |
| dc.identifier.uri | http://hdl.handle.net/2117/8877 |
| dc.description | c 2010 JPRR. All rights reserved. Permissions to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or to republish, requires a fee and/or special permission from JPRR. La publicació original està disponible en www.jprr.org |
| dc.description.abstract | A probabilistic interpretation for the output obtained from a tri-class Support Vector Machine into a multi-classification problem is presented in this paper. Probabilistic outputs are defined when solving a multi-class problem by using an ensemble architecture with tri-class learning machines working in parallel. This architecture enables the definition of an ‘interpretation’ mapping which works on signed and probabilistic outputs providing more control to the user on the classification problem. |
| dc.format.extent | 9 p. |
| dc.language.iso | eng |
| 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.lcsh | Support vector machines |
| dc.subject.lcsh | Kernel functions |
| dc.subject.lcsh | Machine learning--Mathematical models |
| dc.title | A probabilistic tri-class Support Vector Machine |
| dc.type | Article |
| dc.subject.lemac | Aprenentatge automàtic |
| dc.subject.lemac | Sistemes experts (Informàtica) -- Autoaprenentatge |
| dc.subject.lemac | Kernel, Funcions de |
| dc.contributor.group | Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
| dc.description.peerreviewed | Peer Reviewed |
| dc.relation.publisherversion | http://www.jprr.org/index.php/jprr/article/view/237/54 |
| dc.rights.access | Open Access |
| local.identifier.drac | 2636809 |
| dc.description.version | Postprint (published version) |
| local.citation.author | González, L.; Angulo, C.; Velasco, F.; Ortega, J. |
| local.citation.publicationName | Journal of pattern recognition research |
| local.citation.volume | 5 |
| local.citation.number | 1 |
| local.citation.startingPage | 1 |
| local.citation.endingPage | 9 |
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