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Local-Learning-Based Feature Selection for High-Dimensional Data Analysis

This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature-selection algorithm that addresses several major issues with prior work, including problems with algorithm implementation, computational complexity, and so...

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Main Authors: Sun, Yijun, Todorovic, Sinisa, Goodison, Steve
格式: Artigo
語言:Inglês
出版: 2010
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3445441/
https://ncbi.nlm.nih.gov/pubmed/20634556
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2009.190
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