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Semisupervised learning from dissimilarity data
The following two-stage approach to learning from dissimilarity data is described: (1) embed both labeled and unlabeled objects in a Euclidean space; then (2) train a classifier on the labeled objects. The use of linear discriminant analysis for (2), which naturally invites the use of classical mult...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2856100/ https://ncbi.nlm.nih.gov/pubmed/20407600 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2008.02.030 |
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