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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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書誌詳細
主要な著者: Page, Garritt, Bhattacharya, Abhishek, Dunson, David
フォーマット: Artigo
言語:Inglês
出版事項: 2013
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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