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Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data

High dimensional bioinformatics data sets provide an excellent and challenging research problem in machine learning area. In particular, DNA microarrays generated gene expression data are of high dimension with significant level of noise. Supervised kernel learning with an SVM classifier was success...

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書目詳細資料
Main Authors: Jiang, Hao, Ching, Wai-Ki
格式: Artigo
語言:Inglês
出版: Hindawi Publishing Corporation 2012
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3420228/
https://ncbi.nlm.nih.gov/pubmed/22919428
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2012/205025
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