dc.creator | Núñez Castro, Haydemar | es |
dc.creator | González Abril, Luis | es |
dc.creator | Angulo Bahón, Cecilio | es |
dc.date.accessioned | 2018-11-05T11:58:10Z | |
dc.date.available | 2018-11-05T11:58:10Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Núñez Castro, H., González Abril, L. y Angulo Bahón, C. (2011). A post-processing strategy for SVM learning from unbalanced data. En 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (195-200), Bruges: Ciaco. | |
dc.identifier.isbn | 978-2-87419-044-5 | es |
dc.identifier.uri | https://hdl.handle.net/11441/79797 | |
dc.description | Está en: https://upcommons.upc.edu/handle/2117/12531 | |
dc.description.abstract | Standard learning algorithms may perform poorly when learning from unbalanced datasets. Based on the Fisher’s discriminant analysis, a post-processing strategy is introduced to deal datasets with significant imbalance in the data distribution. A new bias is defined, which reduces skew towards the minority class. Empirical results from experiments for a learned SVM model on twelve UCI datasets indicates that the proposed solution improves the original SVM, and they also improve those reported when using a z-SVM, in terms of g-mean and sensitivity. | es |
dc.description.sponsorship | Spanish Ministry of Science and Technology TIN2009-14378-C02-01 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Ciaco | es |
dc.relation.ispartof | 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2011), p 195-200 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | A post-processing strategy for SVM learning from unbalanced data | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Economía Aplicada I | es |
dc.relation.projectID | TIN2009-14378-C02-01 | es |
dc.contributor.group | Universidad de Sevilla. SEJ442: Métodos Cualitativos y Optimización en Sistemas Dinámicos Económicos | es |
idus.format.extent | 6 p. | es |
dc.publication.initialPage | 195 | es |
dc.publication.endPage | 200 | es |
dc.eventtitle | 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning | es |
dc.eventinstitution | Bruges | es |
dc.relation.publicationplace | Louvain-la-Neuve | es |
dc.contributor.funder | Ministerio de Ciencia y Tecnología (MCYT). España | |