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classification techniques is given for completeness. Two algorithms: support vector machine and probability classifier are chosen to …
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Data description and classification are important tasks in supervised learning. In this study, three supervised …
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Current statistical inference problems in genomic data analysis involve parameter estimation for high-dimensional multivariate distributions, with typically unknown and intricate correlation patterns among variables. Addressing these inference questions satisfactorily requires: (i) an intensive...
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of continuous response variables and for prediction of a categorical variable (also referred to as classification …
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