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Hybrid generative/discriminative training of radial basis function networks

dc.contributor.authorJ. Ferreira, Artur
dc.contributor.authorFigueiredo, Mario
dc.date.accessioned2024-11-12T15:06:03Z
dc.date.available2024-11-12T15:06:03Z
dc.date.issued2006-10
dc.description.abstractWe propose a new training algorithm for radial basics function networks (RBFN), which incorporates both generative (mixture-based) and discriminative (logistic) criteria. Our algorithm incorporates steps from the classical expectation-maximization algorithm for mixtures of Gaussians with a logistic regression step to update (in a discriminative way) the output weights. We also describe an incremental version of the algorithm, which is robust regarding initial conditions. Comparison of our approach with existing training algorithms, on (both synthetic and real) binary classification problems, shows that it achieves better performance.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFERREIRA, Artur J.; FIGUEIREDO, Mário A. T. – Hybrid Generative/Discriminative Training of Radial Basis Function Networks. In 14th European Symposium on Artificial Neural Networks – ESANN'06. Bruges, Bélgica: dblp – computer science bibliographyr, 2006. ISBN 2-930307-06-4. Pp. 599-604.pt_PT
dc.identifier.isbn2-930307-06-4
dc.identifier.urihttp://hdl.handle.net/10400.21/17889
dc.language.isoengpt_PT
dc.subjectradialpt_PT
dc.subjectgenerativept_PT
dc.subjectdiscriminativept_PT
dc.titleHybrid generative/discriminative training of radial basis function networkspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceApril 26-28, 2006 - Bruges, Belgiumpt_PT
oaire.citation.endPage604pt_PT
oaire.citation.startPage599pt_PT
oaire.citation.title14th European Symposium on Artificial Neural Networkspt_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.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication734bfe75-0c68-4cdf-8a87-2aef3564f5bd
relation.isAuthorOfPublicationd3d068dc-5887-4ecd-bf7f-067ef06e1943
relation.isAuthorOfPublication.latestForDiscoveryd3d068dc-5887-4ecd-bf7f-067ef06e1943

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