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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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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | 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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