High-dimensional classification addresses situations in which the number of variables far exceeds the number of observations. Traditional methods often falter in these settings due to overfitting, ...
High-dimensional data arise when the number of measured variables far exceeds the number of observations, a situation common in genomics, image analysis and finance. This imbalance introduces ...
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