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Efficient and accurate computational solutions for binary classification problems are currently of interest in many contexts, particularly in biomedical informatics and computational biology where the interesting genomic and proteomic data sets are imbued with dimensional complexity and confounded by noise. Over the past several years it has been(More)
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