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Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel learning

Coupled training of dimensionality reduction and classification is proposed previously to improve the prediction performance for single-label problems. Following this line of research, in this paper, we first introduce a novel Bayesian method that combines linear dimensionality reduction with linear...

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Détails bibliographiques
Auteur principal: Gönen, Mehmet
Format: Artigo
Langue:Inglês
Publié: 2014
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3921909/
https://ncbi.nlm.nih.gov/pubmed/24532862
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patrec.2013.11.021
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