Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
What is regularization in machine learning? Regularization in machine learning is a set of techniques used to ensure that a machine learning model can generalize to new data within the same data set.
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