Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms

Abstract Background With modern methods in biotechnology, the search for biomarkers has advanced to a challenging statistical task exploring high dimensional data sets.Feature selection is a widely researched preprocessing step to handle huge numbers of biomarker candidates and has special importance for the analysis of biomedical data.Such data se

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A group acceptance sampling plan based on flexible new Kumaraswamy exponential distribution: An application to quality control reliability

AbstractIn this Treatments study, we presented a group acceptance sampling plan for situations in which the lifetime of an item followed a flexible new Kumaraswamy exponential distribution for applications to quality control reliability.This study includes a detailed analysis of the operating characteristic function values, producer risk, and minim

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