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Combining models in discrete discriminant analysis

dc.contributor.authorMarques, Anabela
dc.contributor.authorFerreira, Ana Sousa
dc.contributor.authorCardoso, Margarida
dc.date.accessioned2015-03-25T18:31:57Z
dc.date.available2015-03-25T18:31:57Z
dc.date.issued2010
dc.descriptionResumo da comunicação em póster apresentada em International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat'2010), Tomar, Portugal, 27-31 July, 2010por
dc.description.abstractDiverse Discrete Discriminant Analysis (DDA) models perform differently on different sample observations (Brito et al. (2006)). This fact has encouraged research in combined models for DDA. This research seems to be specially promising when the a priori classes are not well separated or when small or moderate sized samples are considered, which often occurs in practice. In this work we evaluate the performance of a linear combination of two DDA models (Marques et al. (2008)): the First-Order Independence Model (FOIM) and the Dependence Trees Model (DTM) (Celeux and Nakache (1994). The pro- posed methodology also uses a Hierarchical Coupling Model (HIERM) when addressing multiclass classification problems, decomposing the multiclass problems into several bi-class problems, using a binary tree structure (Sousa Ferreira (2000)). The analysis is based both on simulated and real datasets. Results include measures of precision regarding a training set, a test set and cross-validation. The R software is used for the algorithm's implementation.por
dc.identifier.citationIn Book of abstracts of the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat’2010). Tomar: Instituto Politécnico, 2010.por
dc.identifier.doi10.1504/IJDATS.2016.077483
dc.identifier.urihttp://hdl.handle.net/10400.26/8131
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherInstituto Politécnico de Tomarpor
dc.relationBusiness Research Unit
dc.relation.publisherversionhttp://www.linstat2010.ipt.pt/download/Cardoso.pdfpor
dc.subjectCombining modelpor
dc.subjectDiscrete discriminant analysispor
dc.subjectFirst-order independence modelpor
dc.subjectDependence trees modelpor
dc.titleCombining models in discrete discriminant analysispor
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleBusiness Research Unit
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FGES%2F00315%2F2013/PT
oaire.citation.conferencePlaceTomar, Portugalpor
oaire.citation.endPage237por
oaire.citation.startPage237por
oaire.citation.titleBook of abstracts of the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat’2010)por
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isProjectOfPublication6fd5b7d0-6084-426a-8842-808dc50f62a0
relation.isProjectOfPublication.latestForDiscovery6fd5b7d0-6084-426a-8842-808dc50f62a0

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