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Boosting of (very) weak learners

dc.contributor.authorJ. Ferreira, Artur
dc.contributor.authorFigueiredo, Mário
dc.date.accessioned2024-11-14T12:08:24Z
dc.date.available2024-11-14T12:08:24Z
dc.date.issued2007-05
dc.description.abstractIn this paper we apply boosting to weak (binary) learners. The main idea is to combine the output of several simple learners in order to obtain a better classifier. As weak learners we consider generative classifiers and radial basis function classifiers.Our tests on synthetic data show that the proposed algorithm has good convergence properties. On benchmark data, boosting of these weak learners attains results close to the well-known Real AdaBoost algorithm (with decision trees) and support vector machines, constituting a low complexity competitive choice.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFerreira, A., Figueiredo, M. – Boosting of (Very) Weak Learners. In Conference on Telecommunications (ConfTele 2007). Peniche, Portugal: dblp – computer science bibliographyr, 2007. Vol. 1, pp. 593-596pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/17910
dc.language.isoengpt_PT
dc.publisherdblp – computer science bibliographyrpt_PT
dc.subjectboostingpt_PT
dc.subjectweak learnerspt_PT
dc.titleBoosting of (very) weak learnerspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlace09 a 11 de Maio de 2007 - Peniche, Portugalpt_PT
oaire.citation.endPage596pt_PT
oaire.citation.startPage593pt_PT
oaire.citation.title6th Conference on Telecommunications – Conftele 2007pt_PT
oaire.citation.volume1pt_PT
person.familyNameFerreira
person.familyNameFigueiredo
person.givenNameArtur
person.givenNameMario
person.identifier1049438
person.identifier3015485
person.identifier.ciencia-id091A-96FB-A88C
person.identifier.ciencia-idED1E-A787-3569
person.identifier.orcid0000-0002-6508-0932
person.identifier.orcid0000-0002-0970-7745
person.identifier.ridAAL-4377-2020
person.identifier.ridC-5428-2008
person.identifier.scopus-author-id35315359300
person.identifier.scopus-author-id34769730500
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication734bfe75-0c68-4cdf-8a87-2aef3564f5bd
relation.isAuthorOfPublicationd3d068dc-5887-4ecd-bf7f-067ef06e1943
relation.isAuthorOfPublication.latestForDiscovery734bfe75-0c68-4cdf-8a87-2aef3564f5bd

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