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Classification via Bayesian Nonparametric Learning of Affine Subspaces
It has become common for data sets to contain large numbers of variables in studies conducted in areas such as genetics, machine vision, image analysis and many others. When analyzing such data, parametric models are often too inflexible while nonparametric procedures tend to be non-robust because o...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2013
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3607648/ https://ncbi.nlm.nih.gov/pubmed/23539471 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2013.763566 |
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